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Starred repositories
MOT using deepsort and yolov3 with pytorch
自己总结的DeepLizard的pytorch神经网络编程系列视频的笔记(非官方)
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
💮 amazing QRCode generator in Python (supporting animated gif) - Python amazing 二维码生成器（支持 gif 动态图片二维码）
Interactively inspect module inputs, outputs, parameters, and gradients.
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
PyTorch Tutorial for Deep Learning Researchers
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
A library to generate LaTeX expression from Python code.
Scalable UShapelets for Time Series Clustering Implementation in Python
[🔥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
PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
qstock由“Python金融量化”公众号开发，试图打造成个人量化投研分析包，目前包括数据获取（data）、可视化(plot)、选股(stock)和量化回测（策略backtest）模块。 qstock将为用户提供简洁的数据接口和规整化后的金融市场数据。可视化模块为用户提供基于web的交互图形的简单接口； 选股模块提供了同花顺的选股数据和自定义选股，包括RPS、MM趋势、财务指标、资金流模型…
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
Algorithmic Trading in Python with Machine Learning
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现
FinRL: Financial Reinforcement Learning. 🔥
Linux命令大全搜索工具，内容包含Linux命令手册、详解、学习、搜集。https://git.io/linux
Official Code for Context-Aware Crowd Counting. CVPR 2019