FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet....
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything f...
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform e...
Python Implementation of Reinforcement Learning: An Introduction
Minimal and clean examples of machine learning algorithms implementations
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch....
PyTorch implementations of Generative Adversarial Networks.
Keras implementations of Generative Adversarial Networks.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation....
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version...
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience...
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translat...
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
Pytorch implementation of convolutional neural network visualization techniques
A Python implementation of global optimization with gaussian processes.
A faster and highly-compatible implementation of the Python programming language. The code here is out of date, please follow our blog...
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images....
CommonMark spec, with reference implementations in C and JavaScript
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights....
Brython (Browser Python) is an implementation of Python 3 running in the browser
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
Chia blockchain python implementation (full node, farmer, harvester, timelord, and wallet)
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch...
A collection of important graph embedding, classification and representation learning papers with implementations....
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Genera...
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows"....