Explore live open-source projects and AI models.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Python Data Science Handbook: full text in Jupyter Notebooks

An Open Source implementation of Notebook LM with more flexibility and features

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

The fastai deep learning library