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# 中文增速榜 > 软件类 > Jupyter Notebook
数据更新: 2023-12-23 / 温馨提示：中文项目泛指「文档母语为中文」OR「含有中文翻译」的项目，通常在项目的「readme/wiki/官网」可以找到
|#|Repository|Description|Stars|Average daily growth|Updated|
|:-|:-|:-|:-|:-|:-|
|1|[suno-ai/bark](https://github.com/suno-ai/bark)|🔊 Text-Prompted Generative Audio Model|29200|112|2023-12-14|
|2|[tloen/alpaca-lora](https://github.com/tloen/alpaca-lora)|Instruct-tune LLaMA on consumer hardware|17640|62|2023-12-10|
|3|[AI4Finance-Foundation/FinGPT](https://github.com/AI4Finance-Foundation/FinGPT)|Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.|9952|32|2023-12-22|
|4|[geekyutao/Inpaint-Anything](https://github.com/geekyutao/Inpaint-Anything)|Inpaint anything using Segment Anything and inpainting models.|4635|18|2023-11-19|
|5|[LC1332/Luotuo-Chinese-LLM](https://github.com/LC1332/Luotuo-Chinese-LLM)|骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技|3494|13|2023-09-03|
|6|[UFund-Me/Qbot](https://github.com/UFund-Me/Qbot)|[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant|5025|13|2023-11-14|
|7|[chenzomi12/DeepLearningSystem](https://github.com/chenzomi12/DeepLearningSystem)|Deep Learning System core principles introduction.|5455|12|2023-12-14|
|8|[lyogavin/Anima](https://github.com/lyogavin/Anima)|33B Chinese LLM, DPO QLORA, 100K context, AirLLM 70B inference with single 4GB GPU|1887|10|2023-12-21|
|9|[meituan/YOLOv6](https://github.com/meituan/YOLOv6)|YOLOv6: a single-stage object detection framework dedicated to industrial applications.|5364|10|2023-12-15|
|10|[advimman/lama](https://github.com/advimman/lama)|🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022|6619|8|2023-11-18|
|11|[datawhalechina/hugging-llm](https://github.com/datawhalechina/hugging-llm)|HuggingLLM, Hugging Future.|1936|8|2023-11-27|
|12|[PhoebusSi/Alpaca-CoT](https://github.com/PhoebusSi/Alpaca-CoT)|We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to ...|2251|8|2023-12-12|
|13|[FranxYao/chain-of-thought-hub](https://github.com/FranxYao/chain-of-thought-hub)|Benchmarking large language models' complex reasoning ability with chain-of-thought prompting|2156|7|2023-12-10|
|14|[KevinWang676/Bark-Voice-Cloning](https://github.com/KevinWang676/Bark-Voice-Cloning)|Bark Voice Cloning and Voice Cloning for Chinese Speech|1433|7|2023-12-14|
|15|[ytzfhqs/AAAMLP-CN](https://github.com/ytzfhqs/AAAMLP-CN)|Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/|777|7|2023-12-07|
|16|[kaieye/2022-Machine-Learning-Specialization](https://github.com/kaieye/2022-Machine-Learning-Specialization)|-|3116|6|2023-07-26|
|17|[prophesier/diff-svc](https://github.com/prophesier/diff-svc)|Singing Voice Conversion via diffusion model|2523|6|2023-07-10|
|18|[LC1332/Chat-Haruhi-Suzumiya](https://github.com/LC1332/Chat-Haruhi-Suzumiya)|Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.|1231|6|2023-12-21|
|19|[alphacep/vosk-api](https://github.com/alphacep/vosk-api)|Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node|6506|4|2023-12-15|
|20|[TommyZihao/Train_Custom_Dataset](https://github.com/TommyZihao/Train_Custom_Dataset)|标注自己的数据集，训练、评估、测试、部署自己的人工智能算法|2160|4|2023-11-12|
|21|[snakers4/silero-models](https://github.com/snakers4/silero-models)|Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple|4265|4|2023-10-18|
|22|[hoochanlon/hamulete](https://github.com/hoochanlon/hamulete)|🏔️国立台湾大学、新加坡国立大学、早稻田大学、东京大学，中央研究院（台湾）以及中国重点高校及科研机构，社科、经济、数学、博弈论、哲学、系统工程类学术论文等知识库。|8595|4|2023-12-11|
|23|[DjangoPeng/openai-quickstart](https://github.com/DjangoPeng/openai-quickstart)|A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.|558|4|2023-12-21|
|24|[carefree0910/carefree-creator](https://github.com/carefree0910/carefree-creator)|AI magics meet Infinite draw board.|2093|4|2023-11-15|
|25|[AI4Finance-Foundation/FinNLP](https://github.com/AI4Finance-Foundation/FinNLP)|Democratizing Internet-scale financial data.|913|3|2023-11-26|
|26|[datawhalechina/competition-baseline](https://github.com/datawhalechina/competition-baseline)|数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路|3825|3|2023-11-13|
|27|[Ayanaminn/N46Whisper](https://github.com/Ayanaminn/N46Whisper)|Whisper based Japanese subtitle generator|1271|3|2023-12-10|
|28|[yangxy/GPEN](https://github.com/yangxy/GPEN)|-|2192|2|2023-12-16|
|29|[datawhalechina/fun-rec](https://github.com/datawhalechina/fun-rec)|推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/|2939|2|2023-12-19|
|30|[matheusfacure/python-causality-handbook](https://github.com/matheusfacure/python-causality-handbook)|Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality. |2227|2|2023-12-21|
|31|[s4afa451dgf415f/colab_stable_diffusion](https://github.com/s4afa451dgf415f/colab_stable_diffusion)|stable_diffusion_webui的colab部署版本(including English version)，下载了所流行插件依赖和并进行初始化配置。拥有mod管理、手机自适应、图片信息本地读取等脚本。|615|2|2023-12-17|
|32|[thuml/Autoformer](https://github.com/thuml/Autoformer)|About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008|1525|2|2023-11-03|
|33|[tencentmusic/cube-studio](https://github.com/tencentmusic/cube-studio)|cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式算法训练，超参搜索，推理服务VGPU，多集群调度，边缘计算，serverless，标注平台，自动化标注，数据集管理，大模型一键微调，llmops，私有知识库，AI应用商店，支持模型一键开发/推理/微调，私有化部署 ...|1654|2|2023-12-20|
|34|[jvns/pandas-cookbook](https://github.com/jvns/pandas-cookbook)|Recipes for using Python's pandas library|6390|2|2023-10-28|
|35|[enpeizhao/CVprojects](https://github.com/enpeizhao/CVprojects)|computer vision projects 计算机视觉相关好玩的AI项目（Python、C++）|1797|2|2023-11-29|
|36|[OpenBioLink/ThoughtSource](https://github.com/OpenBioLink/ThoughtSource)|A central, open resource for data and tools related to chain-of-thought reasoning in large language models. Developed @ Samwald research group: https://samwald.info/|791|1|2023-07-21|
|37|[luxonis/depthai-experiments](https://github.com/luxonis/depthai-experiments)|Experimental projects we've done with DepthAI. |726|1|2023-12-15|
|38|[amaiya/ktrain](https://github.com/amaiya/ktrain)|ktrain is a Python library that makes deep learning and AI more accessible and easier to apply|1196|1|2023-12-01|
|39|[TheEconomist/big-mac-data](https://github.com/TheEconomist/big-mac-data)|Data and methodology for the Big Mac index|1496|1|2023-11-17|
|40|[charliedream1/ai_quant_trade](https://github.com/charliedream1/ai_quant_trade)|股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易|757|1|2023-07-01|
|41|[megvii-research/IJCAI2023-CoNR](https://github.com/megvii-research/IJCAI2023-CoNR)|IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets|771|1|2023-08-24|
|42|[FinMind/FinMind](https://github.com/FinMind/FinMind)|Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/|2001|1|2023-12-06|
|43|[yangheng95/PyABSA](https://github.com/yangheng95/PyABSA)|Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.; |804|1|2023-12-22|
|44|[KaihuaTang/Scene-Graph-Benchmark.pytorch](https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch)|A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased S ...|971|1|2023-07-30|
|45|[TommyZihao/Label2Everything](https://github.com/TommyZihao/Label2Everything)|常见计算机视觉标注格式相互转换|218|1|2023-07-18|
|46|[wu-hao-ze/All-assignments-and-projects-for-software-engineering-courses-at-Tongji-University](https://github.com/wu-hao-ze/All-assignments-and-projects-for-software-engineering-courses-at-Tongji-University)|同济大学软件学院软件工程专业课所有作业和项目，包括以下内容：数据结构课程设计，计算机组成原理，离散数学，Python，操作系统，操作系统课程设计，计算机系统结构，系统分析与设计，数据库原理与应用，数据库原理与应用课程设计，算法分析设计，人工智能导论，计算机网络，计算机网络实验，软件工程，软件工程课程设计，软件设计模式，智能计算系统，编译原理，嵌入式系统导论，物联网应用基础，用户交互技术，软件测试， ...|236|1|2023-07-10|
|47|[marcotcr/checklist](https://github.com/marcotcr/checklist)|Beyond Accuracy: Behavioral Testing of NLP models with CheckList|1962|1|2023-10-27|
|48|[BoXiaolei/MyTransformer_pytorch](https://github.com/BoXiaolei/MyTransformer_pytorch)|关于Transformer模型的最简洁pytorch实现，包含详细注释|58|1|2023-11-13|
|49|[megvii-research/CVPR2023-DMVFN](https://github.com/megvii-research/CVPR2023-DMVFN)|CVPR2023 (highlight) - A Dynamic Multi-Scale Voxel Flow Network for Video Prediction|282|1|2023-12-19|
|50|[kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI)|深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch|519|1|2023-09-24|
|51|[Luhuanz/pytorch_project](https://github.com/Luhuanz/pytorch_project)|一些日常的项目记录|328|1|2023-09-13|
|52|[lansinuote/Huggingface_Toturials](https://github.com/lansinuote/Huggingface_Toturials)|bert-base-chinese example|636|1|2023-08-07|
|53|[Glanvery/LLM-Travel](https://github.com/Glanvery/LLM-Travel)|欢迎来到 "LLM-travel" 仓库！探索大语言模型（LLM）的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。|92|1|2023-12-22|
|54|[menyifang/DCT-Net](https://github.com/menyifang/DCT-Net)|Official implementation of "DCT-Net: Domain-Calibrated Translation for Portrait Stylization", SIGGRAPH 2022 (TOG); Multi-style cartoonization|647|1|2023-10-24|
|55|[hugo2046/QuantsPlaybook](https://github.com/hugo2046/QuantsPlaybook)|量化研究-券商金工研报复现|1799|1|2023-08-14|
|56|[lyhue1991/torchkeras](https://github.com/lyhue1991/torchkeras)|Pytorch❤️ Keras 😋😋|1121|1|2023-12-04|
|57|[Estom/notes](https://github.com/Estom/notes)|一个码农的毕生所学!笔记 & 教程。考研,就业,上学.语言篇，Android,C++,Java,JavaScript,Latex,MATLAB,NodeJS,PHP,Python,技术篇,docker,git,Linux,Maven,office,Spark,Spring,SVN,基础篇,编译原理,操作系统,单片机,计算机网络,计算机网络实验,架构模式,软件文档写作,设计模式,数据结构,数据库,算 ...|759|1|2023-11-09|
|58|[zhongqiangwu960812/AI-RecommenderSystem](https://github.com/zhongqiangwu960812/AI-RecommenderSystem)|该仓库尝试整理推荐系统领域的一些经典算法模型|1322|1|2023-10-15|
|59|[roberthsu2003/__chihlee_pico__](https://github.com/roberthsu2003/__chihlee_pico__)|致理pico_w課程|20|1|2023-12-16|
|60|[datawhalechina/whale-quant](https://github.com/datawhalechina/whale-quant)|本项目为量化开源课程，可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。|156|1|2023-10-10|
|61|[LC1332/CamelBell-Chinese-LoRA](https://github.com/LC1332/CamelBell-Chinese-LoRA)|CamelBell（驼铃) is be a Chinese Language Tuning project based on LoRA. CamelBell is belongs to Project Luotuo(骆驼), an open sourced Chinese-LLM project created by 冷子昂 @ 商汤科技 & 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技|172|1|2023-12-21|
|62|[LC1332/Luotuo-Text-Embedding](https://github.com/LC1332/Luotuo-Text-Embedding)|Luotuo Embedding(骆驼嵌入) is a text embedding model, which developed by 李鲁鲁, 冷子昂, 陈启源, 蒟蒻等.|237|1|2023-08-25|
|63|[RonaldJEN/FinanceChatGLM](https://github.com/RonaldJEN/FinanceChatGLM)|SMP 2023 ChatGLM金融大模型挑战赛 60 分baseline思路介绍|175|1|2023-08-10|
|64|[miracleyoo/pytorch-lightning-template](https://github.com/miracleyoo/pytorch-lightning-template)|An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all ...|1041|1|2023-08-06|
|65|[yuanjie-ai/ChatLLM](https://github.com/yuanjie-ai/ChatLLM)|轻松玩转LLM兼容openai&langchain，支持文心一言、讯飞星火、腾讯混元、智谱ChatGLM等|354|1|2023-10-16|
|66|[jayeew/Chinese-ChatBot](https://github.com/jayeew/Chinese-ChatBot)|中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行。|317|0|2023-09-17|
|67|[binzhouchn/deep_learning](https://github.com/binzhouchn/deep_learning)|模拟神经元功能和网络结构，来完成认知任务的一类机器学习算法|17|0|2023-10-24|
|68|[oegedijk/dash_oop_components](https://github.com/oegedijk/dash_oop_components)|OOP components for plotly dash that make dashboard components composable, reusable and configurable|50|0|2023-08-26|
|69|[palemoons/ZJU-GIS-Raid-Guide](https://github.com/palemoons/ZJU-GIS-Raid-Guide)|浙江大学GIS本科专业部分代码留档|24|0|2023-09-08|
|70|[ryan4yin/knowledge](https://github.com/ryan4yin/knowledge)|(Chinese Only)Everything I know: DevOps & CloudNative, Linux, Embedded, Homelab, Music, Blockchain, AI, etc...|357|0|2023-12-19|
|71|[xushengyuan/Fastsinging](https://github.com/xushengyuan/Fastsinging)|一个基于Fastspeech的开源歌声合成系统|57|0|2023-07-06|
|72|[Yourdaylight/Python-DA-and-DM](https://github.com/Yourdaylight/Python-DA-and-DM)|python数据分析与数据挖掘实例|39|0|2023-10-17|
|73|[ktakita1011/my_kaggle_docker](https://github.com/ktakita1011/my_kaggle_docker)|2023年版kaggle環境|29|0|2023-11-04|
|74|[jajupmochi/graphkit-learn](https://github.com/jajupmochi/graphkit-learn)|A python package for graph kernels, graph edit distances, and graph pre-image problem.|107|0|2023-12-07|
|75|[LobbyBoy-Dray/PyShare](https://github.com/LobbyBoy-Dray/PyShare)|北京大学金融科技协会Python系列讲座，Lecture notes & Extended reading|26|0|2023-12-22|
|76|[asukaminato0721/IntWithStepsOfTeXForm](https://github.com/asukaminato0721/IntWithStepsOfTeXForm)|不定积分过程生成器（By Mathematica）|38|0|2023-11-04|
|77|[roberthsu2003/PythonForDataAnalysis](https://github.com/roberthsu2003/PythonForDataAnalysis)|AI 人工智慧開發入門|106|0|2023-11-26|
|78|[ybdesire/machinelearning](https://github.com/ybdesire/machinelearning)|My machine learning code written by python.|32|0|2023-11-30|
|79|[yatengLG/Focal-Loss-Pytorch](https://github.com/yatengLG/Focal-Loss-Pytorch)|全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数 ...|401|0|2023-10-31|
|80|[wangzheng422/docker_env](https://github.com/wangzheng422/docker_env)|Personal working log and md documents. Currently forcus on openshift4.|120|0|2023-12-19|
|81|[serengil/tensorflow-101](https://github.com/serengil/tensorflow-101)|TensorFlow 101: Introduction to Deep Learning|987|0|2023-10-01|
|82|[muzishen/VIPriors-Object-Detection-Challenge](https://github.com/muzishen/VIPriors-Object-Detection-Challenge)|2020 ECCV VIPirios 目标检测冠军|43|0|2023-07-10|
|83|[cviaai/VEINCV-RL](https://github.com/cviaai/VEINCV-RL)|Near-Infrared-to-Visible Vein Imaging via Convolutional Neural Networks and Reinforcement Learning|23|0|2023-10-03|
|84|[Tony607/Cybergear](https://github.com/Tony607/Cybergear)|小米微电机Cybergear上手开发|26|0|2023-11-17|
|85|[sekilab/RoadDamageDetector](https://github.com/sekilab/RoadDamageDetector)|-|648|0|2023-10-02|
|86|[YiranJing/Coronavirus-Epidemic-COVID-19](https://github.com/YiranJing/Coronavirus-Epidemic-COVID-19)|👩🏻⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)|242|0|2023-07-06|
|87|[vespa-engine/sample-apps](https://github.com/vespa-engine/sample-apps)|Repository of sample applications for https://vespa.ai, the open big data serving engine |253|0|2023-12-21|
|88|[allenlu2008/PythonDemo](https://github.com/allenlu2008/PythonDemo)|虾神的Python示例代码库|287|0|2023-09-14|
|89|[andy6804tw/2020-12th-ironman](https://github.com/andy6804tw/2020-12th-ironman)|[全民瘋AI系列] 第12屆iT邦幫忙鐵人賽 影片教學組 |183|0|2023-12-02|
|90|[Tu5039/THSTrader](https://github.com/Tu5039/THSTrader)|支持更新一版的同花顺，改了一些因为UI变化而出现问题的地方|35|0|2023-10-03|
|91|[andy6804tw/2021-13th-ironman](https://github.com/andy6804tw/2021-13th-ironman)|第13屆iT邦幫忙鐵人賽|136|0|2023-12-02|
|92|[CIDO-ontology/cido](https://github.com/CIDO-ontology/cido)|CIDO: Coronavirus Infectious Disease Ontology|20|0|2023-11-04|
|93|[MuskAI/forgery-edge-detection](https://github.com/MuskAI/forgery-edge-detection)|实验室锻炼图像篡改边缘检测项目|24|0|2023-08-03|
|94|[neolee/pilot](https://github.com/neolee/pilot)|进入编程世界的第一课|568|0|2023-07-20|
|95|[deepjavalibrary/d2l-java-zh](https://github.com/deepjavalibrary/d2l-java-zh)|-|33|0|2023-12-18|
|96|[dkl0707/factor_backtest](https://github.com/dkl0707/factor_backtest)|因子回测框架|44|0|2023-07-09|
|97|[X-lab2017/open-digger](https://github.com/X-lab2017/open-digger)|Open source analysis tools|265|0|2023-12-19|
|98|[Quantum-Dynamics-Hub/libra-code](https://github.com/Quantum-Dynamics-Hub/libra-code)|-|41|0|2023-11-25|
|99|[cbdb-project/named-entities-for-premodern-chinese-history-research](https://github.com/cbdb-project/named-entities-for-premodern-chinese-history-research)|Repo to generate and host named entities for premodern chinese history research|20|0|2023-08-24|
|100|[hktxt/Courses](https://github.com/hktxt/Courses)|An AI engineer Prepares / 算法工程师自我修养|25|0|2023-08-28|
|101|[JeffMony/AV_Library](https://github.com/JeffMony/AV_Library)|从0开始教你做一款剪映APP|28|0|2023-10-23|
|102|[RyoWakabayashi/elixir-learning](https://github.com/RyoWakabayashi/elixir-learning)|Elixir 学習用|31|0|2023-12-21|
|103|[ImpulsoGov/farolcovid](https://github.com/ImpulsoGov/farolcovid)|🚦🏥. Ferramenta de monitoramento do risco de colapso no sistema de saúde em municípios brasileiros com a Covid-19 • Monitoring tool & simulation of the risk of collapse in Brazilian municipalities' hea ...|54|0|2023-07-06|
|104|[EdwinZhang1970/Python](https://github.com/EdwinZhang1970/Python)|Source code about Python Development|169|0|2023-12-12|
|105|[WHUFT/WHU_FinTech_Workshop](https://github.com/WHUFT/WHU_FinTech_Workshop)|武汉大学金融科技研讨班|181|0|2023-12-22|
|106|[davidfrz/yolov5_distance_count](https://github.com/davidfrz/yolov5_distance_count)|使用yolov5，双目摄像头进行测距|369|0|2023-10-19|
|107|[RenShuhuai-Andy/my-tools](https://github.com/RenShuhuai-Andy/my-tools)|my commonly-used tools|38|0|2023-11-22|
|108|[jonnor/embeddedml](https://github.com/jonnor/embeddedml)|Notes on Machine Learning on edge for embedded/sensor/IoT uses|141|0|2023-12-21|
|109|[WSH032/kohya-config-webui](https://github.com/WSH032/kohya-config-webui)|A WebUI for making config files used by kohya_sd_script. 一个用于生成kohya-ss训练脚本使用的toml配置文件的WebUI|87|0|2023-08-01|
|110|[madhavmk/Noise2Noise-audio_denoising_without_clean_training_data](https://github.com/madhavmk/Noise2Noise-audio_denoising_without_clean_training_data)|Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy ...|128|0|2023-09-01|
|111|[c-xy17/NeuralModeling](https://github.com/c-xy17/NeuralModeling)|for 神经计算建模实战|24|0|2023-08-23|
|112|[patrick-llgc/Learning-Deep-Learning](https://github.com/patrick-llgc/Learning-Deep-Learning)|Paper reading notes on Deep Learning and Machine Learning|949|0|2023-12-10|
|113|[nyukat/GMIC](https://github.com/nyukat/GMIC)|An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization|148|0|2023-09-26|
|114|[tinyms-ai/tinyms](https://github.com/tinyms-ai/tinyms)|Easy-to-Use deep learning development toolkit.|125|0|2023-12-01|
|115|[nmcdev/meteva](https://github.com/nmcdev/meteva)|提供气象产品检验相关程序|159|0|2023-08-30|
|116|[polarisZhao/pytorch-cookbook](https://github.com/polarisZhao/pytorch-cookbook)|-|66|0|2023-07-22|
|117|[xsthunder/download-youtube-subtitle](https://github.com/xsthunder/download-youtube-subtitle)|download youtube subtitles(closed caption, cc) as txt or json, support translation and proxy. available on PIP 🐍 . try it online at google colab!|59|0|2023-08-28|
|118|[mesolitica/malaysian-dataset](https://github.com/mesolitica/malaysian-dataset)|Text corpus for Malaysian, https://malaya.readthedocs.io/en/latest/Dataset.html|259|0|2023-12-22|
|119|[alext234/coronavirus-stats](https://github.com/alext234/coronavirus-stats)|Automatically scrape data and statistics on Coronavirus to make them easily accessible in CSV format|47|0|2023-07-23|
|120|[mapicccy/funcat](https://github.com/mapicccy/funcat)|Using very simple code to compute indicator of stock\crytocurrency. For example, MA(C, 5) means average closed-price for last 5 days.|26|0|2023-12-14|
|121|[polimi-ispl/deep_prior_interpolation](https://github.com/polimi-ispl/deep_prior_interpolation)|Interpolation of seismic data through Deep Priors|27|0|2023-10-06|
|122|[lingjzhu/probing-TTS-models](https://github.com/lingjzhu/probing-TTS-models)|Link to paper: https://www.isca-speech.org/archive_v0/SpeechProsody_2020/pdfs/51.pdf|31|0|2023-07-06|
|123|[datawhalechina/learn-python-the-smart-way-v2](https://github.com/datawhalechina/learn-python-the-smart-way-v2)|聪明办法学Python，简明且系统的 Python 入门教程第二版。|120|0|2023-11-17|
|124|[genkuroki/Statistics](https://github.com/genkuroki/Statistics)|Notes of Statistics|22|0|2023-11-01|
|125|[aws-samples/smart-cooler](https://github.com/aws-samples/smart-cooler)|-|24|0|2023-10-03|
|126|[aimuch/AITools](https://github.com/aimuch/AITools)|AI 常用脚本|34|0|2023-11-01|
|127|[lukewys/SunXiaoChuan-spider](https://github.com/lukewys/SunXiaoChuan-spider)|A scrapper and analyze result on weibos of SunXiaoChuan. 孙笑川微博的爬虫与分析|33|0|2023-10-03|
|128|[YunWGui/RecSys-Book-Notes](https://github.com/YunWGui/RecSys-Book-Notes)|推荐系统读书笔记、思维导图等|37|0|2023-07-06|
|129|[HaoningChen/scutquant](https://github.com/HaoningChen/scutquant)|scutquant是一个开源的离线量化投资平台，由华南理工大学量化投资协会负责维护. 该框架具有低耦合, 高内聚的特点|28|0|2023-12-15|
|130|[AmazingAng/WTF-DeepRL](https://github.com/AmazingAng/WTF-DeepRL)|Deep RL algorithm in pytorch|251|0|2023-09-05|
|131|[d2l-ai/d2l-zh-pytorch-slides](https://github.com/d2l-ai/d2l-zh-pytorch-slides)|Pytorch版代码幻灯片|500|0|2023-08-18|
|132|[shannany0606/2022_National_Math_Modeling_Competiotion](https://github.com/shannany0606/2022_National_Math_Modeling_Competiotion)|古代玻璃制品的成分分析和鉴别模型&&2022年高教社杯全国大学生数学建模竞赛全国二等奖项目|18|0|2023-11-14|
|133|[IvanaXu/TianChiProj](https://github.com/IvanaXu/TianChiProj)|🏆🥈🥉 TianChi/天池 AIStudio iFLYTEKAI...|43|0|2023-12-17|
|134|[roberthsu2003/python](https://github.com/roberthsu2003/python)|python 說明|187|0|2023-12-14|
|135|[mindspore-ai/docs](https://github.com/mindspore-ai/docs)|MindSpore document|155|0|2023-07-17|
|136|[LubyRuffy/cheatsheet](https://github.com/LubyRuffy/cheatsheet)|华顺信安技术羊皮卷|146|0|2023-12-22|
|137|[CHH3213/chhRobotics](https://github.com/CHH3213/chhRobotics)|自动驾驶规划控制python代码实现|272|0|2023-08-26|
|138|[kevin-meng/HuggingfaceDownloadShare](https://github.com/kevin-meng/HuggingfaceDownloadShare)|中国如何下载huggingface 模型并共享链接|41|0|2023-11-20|
|139|[onlytiancai/codesnip](https://github.com/onlytiancai/codesnip)|代码片段|315|0|2023-12-18|
|140|[HuichuanLI/Recommand-Algorithme](https://github.com/HuichuanLI/Recommand-Algorithme)|推荐算法实战(Recommend algorithm)|86|0|2023-12-16|
|141|[moeheart/jx3bla](https://github.com/moeheart/jx3bla)|JX3 Battle Log Analyse|19|0|2023-12-04|
|142|[zll17/Neural_Topic_Models](https://github.com/zll17/Neural_Topic_Models)|Implementation of topic models based on neural network approaches.|386|0|2023-09-27|
|143|[SocratesClub/datascience](https://github.com/SocratesClub/datascience)|Introduction to Python Programming for Data Science|35|0|2023-10-03|
|144|[collective-action/tech](https://github.com/collective-action/tech)|Documentation of all collective action from tech workers.|205|0|2023-12-01|
|145|[Olivia-account/Military-Equipment-Knowledge-Graph-Based-on-Deep-Learning-and-Neo4j](https://github.com/Olivia-account/Military-Equipment-Knowledge-Graph-Based-on-Deep-Learning-and-Neo4j)|基于深度学习与Neo4j的军事装备知识图谱网页应用构建。本项目是一个军事武器知识图谱网页应用软件原型系统。该系统由数据爬虫、数据管理、数据处理、知识问答、新闻热点、词条查询和图谱展示七个功能模块组成。系统从互联网上爬取数据，并基于百度文心ERNIE 3.0模型对数据进行实体识别和关系抽取，将数据处理为三元组形式并存储到图数据库Neo4j中。通过数据管理和数据标注，并通过对Neo4j中的三元组数据进 ...|31|0|2023-06-24|
|146|[cliuxinxin/TX-WORD2VEC-SMALL](https://github.com/cliuxinxin/TX-WORD2VEC-SMALL)|腾讯word2vec模型缩小版|473|0|2023-08-06|
|147|[chengjun/mybook](https://github.com/chengjun/mybook)|Lectures on Computational Communication |73|0|2023-12-01|
|148|[TommyZihao/aidlux_tutorial](https://github.com/TommyZihao/aidlux_tutorial)|AidLux手机部署人工智能算法|27|0|2023-10-14|
|149|[RuifMaxx/Multidimensional-time-series-with-transformer](https://github.com/RuifMaxx/Multidimensional-time-series-with-transformer)|transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测|183|0|2023-08-21|
|150|[roberthsu2003/pythonWindow](https://github.com/roberthsu2003/pythonWindow)|使用tkinter打造跨平台視窗|19|0|2023-12-11|
|151|[DevinWang23/tianchi_ai_ops_2020](https://github.com/DevinWang23/tianchi_ai_ops_2020)|PAKDD2020 阿里巴巴智能运维算法大赛 复赛28名方案|21|0|2023-07-06|
|152|[SocratesClub/cc2018](https://github.com/SocratesClub/cc2018)|计算传播学编程基础|20|0|2023-10-03|
|153|[wolf-bailang/AI-Projects](https://github.com/wolf-bailang/AI-Projects)|AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）|54|0|2023-08-08|
|154|[Alex-CHUN-YU/Word2vec](https://github.com/Alex-CHUN-YU/Word2vec)|訓練中文詞向量 Word2vec, Word2vec was created by a team of researchers led by Tomas Mikolov at Google.|56|0|2023-07-04|
|155|[montera34/escovid19data](https://github.com/montera34/escovid19data)|Recopilación de datos de COVID19 por provincias en España|81|0|2023-07-03|
|156|[ningmengwei-ata/Class-Project](https://github.com/ningmengwei-ata/Class-Project)|一个包含数据科学本科专业课作业的项目文件夹🍬 包括计算机网络、操作系统、人工智能、计算机视觉、软件系统优化、计算机系统、分布式系统、统计、算法、神经网络、数据科学数学基础、PHP网站、导论（情感分析）|22|0|2023-07-23|
|157|[astronomical-data-processing/fundamentals_of_interferometry_chinese](https://github.com/astronomical-data-processing/fundamentals_of_interferometry_chinese)|Fundamentals of Interferometry Chinese Version|58|0|2023-07-06|
|158|[CNFeffery/PythonPracticalSkills](https://github.com/CNFeffery/PythonPracticalSkills)|存放「Python实用秘技」系列文章对应附件|32|0|2023-07-28|
|159|[wx-chevalier/AI-Notes](https://github.com/wx-chevalier/AI-Notes)|:books: [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 机器学习篇 深度学习篇 自然语言处理篇 工具 ...|735|0|2023-10-14|
|160|[jackjyq/xiaohei-zuowen](https://github.com/jackjyq/xiaohei-zuowen)|小嘿作文生成器：根据主题谓语、主题宾语，生成中学考试风格的作文。|131|0|2023-12-20|
|161|[letylin/pyprogbook](https://github.com/letylin/pyprogbook)|金融大數據首部曲 書名: Python 程式設計入門 — 金融商管實務案例 讀者可以在此下載教學資源含程式碼|52|0|2023-08-01|
|162|[oldratlee/software-practice-thoughts](https://github.com/oldratlee/software-practice-thoughts)|📚 🐣 软件实践文集。主题不限，思考讨论有趣有料就好，包含如 系统的模型分析/量化分析、开源漫游者指南、软件可靠性设计实践、平台产品的逻辑与执行… 🥤|203|0|2023-10-11|
|163|[sijichun/PythonTutor](https://github.com/sijichun/PythonTutor)|Python教学|45|0|2023-12-07|
|164|[gameofdimension/vllm-cn](https://github.com/gameofdimension/vllm-cn)|演示 vllm 对中文大语言模型的神奇效果|32|0|2023-11-04|
|165|[reymont/ReadAndLearn](https://github.com/reymont/ReadAndLearn)|-|27|0|2023-07-16|
|166|[SummerGift/EmbeddedSystem](https://github.com/SummerGift/EmbeddedSystem)|:books: 计算机体系架构、嵌入式系统基础与主流编程语言相关内容总结|563|0|2023-11-23|
|167|[Kedreamix/PaddleAvatar](https://github.com/Kedreamix/PaddleAvatar)|你是否曾经幻想过与自己的虚拟人交互？现在，使用PaddleAvatar，您可以将自己的图像、音频和视频转化为一个逼真的数字人视频，与其进行人机交互。 PaddleAvatar是一种基于PaddlePaddle深度学习框架的数字人生成工具，基于Paddle的许多套件，它可以将您的数字图像、音频和视频合成为一个逼真的数字人视频。除此之外，PaddleAvatar还支持进一步的开发，例如使用自然语言处 ...|56|0|2023-12-10|
|168|[microsoft/inmt](https://github.com/microsoft/inmt)|Interactive Neural Machine Translation tool|52|0|2023-07-14|
|169|[ActiveConclusion/COVID19_mobility](https://github.com/ActiveConclusion/COVID19_mobility)|COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉|258|0|2023-10-18|
|170|[datawhalechina/learn-python-the-smart-way](https://github.com/datawhalechina/learn-python-the-smart-way)|聪明方法学Python，简明且系统的 Python 入门教程。|277|0|2023-10-29|
|171|[roberthsu2003/__112_python_chihlee__](https://github.com/roberthsu2003/__112_python_chihlee__)|10_14日_致理_python_大數據探勘|26|0|2023-12-09|
|172|[NateScarlet/bilibili-live-notification](https://github.com/NateScarlet/bilibili-live-notification)|B 站直播事件 webhook 和开播邮件提醒|26|0|2023-11-14|
|173|[flizzywine/kline-mirror](https://github.com/flizzywine/kline-mirror)|A股历史复盘|31|0|2023-06-29|
|174|[wbbhcb/stock_market](https://github.com/wbbhcb/stock_market)|-|563|0|2023-09-08|
|175|[lyhue1991/PythonAiRoad](https://github.com/lyhue1991/PythonAiRoad)|source code of some articles |273|0|2023-11-26|
|176|[binarybottle/engram](https://github.com/binarybottle/engram)|Arno's Engram v2.0 ("Engram") layout is an optimized key layout for touch typing in English based on ergonomic considerations, with a protocol and software for creating new, optimized key layouts in o ...|193|0|2023-11-02|
|177|[hhhparty/security](https://github.com/hhhparty/security)|About cyber security, data scrapy , aisec analysis, vulnerability analysis, enterprise security, and so on.|85|0|2023-10-17|