jakevdp / PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
See what the GitHub community is most excited about today.
Python Data Science Handbook: full text in Jupyter Notebooks
AirLLM 70B inference with single 4GB GPU
FinRL®: Financial Reinforcement Learning. 🔥
Examples and guides for using the OpenAI API
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Anthropic's Interactive Prompt Engineering Tutorial
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
A game theoretic approach to explain the output of any machine learning model.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Python toolkit for quantitative finance
A 15TB Collection of Physics Simulation Datasets
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding