Source code to pbrt, the ray tracer described in the forthcoming 4th edition of the "Physically Based Rendering: From Theory to Implementation" book.

PyTorch Tutorial for Deep Learning Researchers

Transformer seq2seq model, program that can build a language translator from parallel corpus

A minimalist and easy to use graphics API.

Zmeya is a header-only C++ binary serialization library designed for games and performance-critical applications

Deliberate Practice for Learning Python

More color themes for Jupyter Lab

open source driver project for adreno GPUs

Breeze/BreezeDark-like Qt StyleSheets

A topic-centric list of HQ open datasets.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Vision-Language Pre-training for Image Captioning and Question Answering

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…

Betsy GPU compressor

Code for the paper "Language Models are Unsupervised Multitask Learners"

We are building an open database of COVID-19 cases with chest X-ray or CT images.

COVID-Net Open Source Initiative

A curated list of awesome Deep Learning tutorials, projects and communities.

The original code from the DeepMind article + my tweaks

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

HiPlot makes understanding high dimensional data easy

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

Image-to-Image Translation in PyTorch

Synthesizing and manipulating 2048x1024 images with conditional GANs

Semi-supervised GAN in "Improved Techniques for Training GANs"