Stars
TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX.
Solve puzzles. Improve your pytorch.
Codebase for Image Classification Research, written in PyTorch.
PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)
Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".
A PyTorch library and evaluation platform for end-to-end compression research
A Sharpened Cosine Similarity layer for PyTorch
A collection of tools for neural compression enthusiasts.
FFCV: Fast Forward Computer Vision (and other ML workloads!)
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
The release codes of LA-MCTS with its application to Neural Architecture Search.
PyTorch implementation of the Generalized divisive normalization non-linearity layer
YSDA course in Natural Language Processing
DL course co-developed by YSDA, HSE and Skoltech
A checkers reinforcement learning AI, and all the tools needed to train it.
This repository tests various recurrent neural network architectures on baseline datasets SeqMNIST and pMNIST.
Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
Sequence modeling benchmarks and temporal convolutional networks
Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/2102.02611
A Pytorch implementation of an efficient unitary neural network (https://arxiv.org/abs/1612.05231)
a Lightweight library for sequential learning agents, including reinforcement learning