Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A latent text-to-image diffusion model

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.

Python Data Science Handbook: full text in Jupyter Notebooks

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

Google Research

10 Weeks, 20 Lessons, Data Science for All!

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

The fastai book, published as Jupyter Notebooks

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Learn OpenCV : C++ and Python Examples

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Neural Networks: Zero to Hero

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

A collection of various deep learning architectures, models, and tips

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Kolmogorov Arnold Networks

StableLM: Stability AI Language Models

llama3 implementation one matrix multiplication at a time

Companion webpage to the book "Mathematics For Machine Learning"

Natural Language Processing Tutorial for Deep Learning Researchers

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

This repository contains implementations and illustrative code to accompany DeepMind publications

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

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