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An opinionated list of awesome Python frameworks, libraries, software and resources.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Models and examples built with TensorFlow
The Python micro framework for building web applications.
A curated list of awesome Machine Learning frameworks, libraries and software.
scikit-learn: machine learning in Python
A collection of design patterns/idioms in Python
Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。
OpenMMLab Detection Toolbox and Benchmark
A high-throughput and memory-efficient inference and serving engine for LLMs
Graph Neural Network Library for PyTorch
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Universal LLM Deployment Engine with ML Compilation
A modular graph-based Retrieval-Augmented Generation (RAG) system
DSPy: The framework for programming—not prompting—foundation models
python爬虫教程系列、从0到1学习python爬虫，包括浏览器抓包，手机APP抓包，如 fiddler、mitmproxy，各种爬虫涉及的模块的使用，如：requests、beautifulSoup、selenium、appium、scrapy等，以及IP代理，验证码识别，Mysql，MongoDB数据库的python使用，多线程多进程爬虫的使用，css 爬虫加密逆向破解，JS爬虫逆向，…
😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Python Backtesting library for trading strategies