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

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

Google Research

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

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

This repository contains implementations and illustrative code to accompany DeepMind publications

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

This repository contains demos I made with the Transformers library by HuggingFace.

The "Python Machine Learning (2nd edition)" book code repository and info resource

Acceptance rates for the major AI conferences

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

A Code-First Introduction to NLP course

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

A collection of Jupyter notebooks showing how to use the Qiskit SDK

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Lightweight, useful implementation of conformal prediction on real data.

VPoser: Variational Human Pose Prior

Data preparation and loader for AMASS

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Proposes neural networks that can generate animation of virtual characters for different actions.

Investigating PINNs

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples

Epipolar Transformers (best paper award, CVPR 2020 workshop)