Jupyter Notebook Repositories

A guidance language for controlling large language models.

Google Research

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Examples and guides for using the OpenAI API

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.

Jupyter Interactive Notebook

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

Probabilistic reasoning and statistical analysis in TensorFlow

21 Lessons, Get Started Building with Generative AI

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

The fastai deep learning library

Flax is a neural network library for JAX that is designed for flexibility.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Vision Transformer in JAX.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

A latent text-to-image diffusion model

High-Resolution Image Synthesis with Latent Diffusion Models

The fastai book, published as Jupyter Notebooks

The 3rd edition of course.fast.ai

Repo for the Deep Learning Nanodegree Foundations program.

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

10 Weeks, 20 Lessons, Data Science for All!

Learn how to design, develop, deploy and iterate on production-grade ML applications.

RynnBrain: Open Embodied Foundation Models

No description available.

🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online.

A PyTorch coding practice platform — covering LLM, Diffusion, PEFT, and more A friendly environment to help you deeply understand deep learning components through hands-on practice. Like LeetCode, but for tensors. Self-hosted. Supports both Jupyter and Web interfaces.

Open Source Speech Language Model

No description available.

This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction

""Single-image Layer Decomposition for Anime Characters"" (SIGGRAPH 2026, Conditionally Accepted)

No description available.

Build a modern LLM from scratch. Every line commented. Explained like we are five.

Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.

Generate heatmaps from your Strava export - frequency, pace, heart rate and gradient.