senya-ashukha

modern-unix

A collection of modern/faster/saner alternatives to common unix commands.

pytorch_geometric

Graph Neural Network Library for PyTorch

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

IOPaint

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lama

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

tiny-differentiable-simulator

Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.

xmanager

A platform for managing machine learning experiments

ocp

Open Catalyst Project's library of machine learning methods for catalysis

ppuda

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

se3-transformer-public

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

egnn

receptivefield

Gradient based receptive field estimation for Convolutional Neural Networks

MegaPortraits

Supplementary materials for paper MegaPortraits [ACMM22]

LOST

Pytorch implementation of LOST unsupervised object discovery method

FS-Mol

FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation benchmark which aims to drive few-shot learning research in the domain of molecules and graph-structured data.

ml-drug-discovery-tldrs

TLDRs for ML in Drug Discovery papers

Depth-Enhancement-and-Super-Resolution

Towards Unpaired Depth Enhancement and Super-Resolution in the Wild paper code

InterpretableNeuroDL

Leaf-diseases-segmentation

Finale project of Deep Learning course

Lenta-Hackathon

Code and files for skoltech/lenta hackaton sept.2020

Pytorch-Backprojection

This code accompanies "Differentiable probabilistic models of scientific imaging with the Fourier slice theorem", UAI 2019

sparqling-queries

This repo in the implementation of EMNLP'21 paper "SPARQLing Database Queries from Intermediate Question Decompositions" by Irina Saparina, Anton Osokin

disco

Code for "DISCO: accurate Discrete Scale Convolutions"

ML_uncertainty_quantification

Quantifying and reporting uncertainty in drug discovery predictions with probabilistic models

ivid-wave

particle-EBMs