Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Apache Superset is a Data Visualization and Data Exploration Platform
scikit-learn: machine learning in Python
Deep Learning for humans
⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构，赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ，数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Python Data Science Handbook: full text in Jupyter Notebooks
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Learn how to develop, deploy and iterate on production-grade ML applications.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Streamlit — A faster way to build and share data apps.
Apache Spark - A unified analytics engine for large-scale data processing
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
:hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.
Extremely fast Query Engine for DataFrames, written in Rust
10 Weeks, 20 Lessons, Data Science for All!
500 AI Machine learning Deep learning Computer vision NLP Projects with code
💫 Industrial-strength Natural Language Processing (NLP) in Python