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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

attentionmasked-vit

Skoltech Master's degree diploma

clip_experimental

Repository for experiments with several approaches to fine-tune model, pretrained on the CLIP: https://openai.com/blog/clip/

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

deep-sort-yolov4

People detection and optional tracking with Tensorflow backend.

deep_sort_pytorch

MOT tracking using deepsort and yolov3 with pytorch

dl-colab-notebooks

Try out deep learning models online on Google Colab

face-semantical-segmentation

Test task

fse_lab_version_control

gcv-2021

Geometric Computer Vision final homework

hppl

High Perfomance Python Lab HWs

knowledge-distillation-pytorch

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

lab-w6

looksam

This is unofficial repository for Towards Efficient and Scalable Sharpness-Aware Minimization.

ml-2021-project

How Well Do WGANs Estimate the Wasserstein Metric?

ml2021_seminars

Repository containing seminars from 2021 Machine Learning course at Skoltech

nla

Numerical Linear Algebra Homeworks

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

recommendationsystemsproject

NLA course final project

snake_game

tf-dbscan

Pure Tensorflow 2+ DBSCAN algorithm

tinkoff-hack

tracin-pytorch

This repository contains an implementation of the TracIn method using PyTorch, as described in the paper "TracIn: A Simple Method for Assessing the Influence of Training Data on Models".