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.

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

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Google Research

10 Weeks, 20 Lessons, Data Science for All!

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

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

A game theoretic approach to explain the output of any machine learning model.

The fastai book, published as Jupyter Notebooks

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

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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…

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

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

📡 Simple and ready-to-use tutorials for TensorFlow

Companion webpage to the book "Mathematics For Machine Learning"

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

PRML algorithms implemented in Python

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

Public facing notes page

A collection of pre-trained, state-of-the-art models in the ONNX format

this repository accompanies the book "Grokking Deep Learning"

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body