lizmisha

sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

lightly

A python library for self-supervised learning on images.

shad-go

Golang programming course

Vision-Centric-BEV-Perception

Vision-Centric BEV Perception: A Survey

wheat

Wheat Detection challenge on Kaggle

TabPFN

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

deep_vision_and_graphics

Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.

DeepCalib

DeepCalib: A Deep Learning Approach for Automatic Intrinsic Calibration of Wide Field-of-View Cameras

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

LibtorchSegmentation

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Python

All Algorithms implemented in Python

mmdetection

OpenMMLab Detection Toolbox and Benchmark

yparser

RL-Theory-book

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

qml-mooc

Lecture notebooks and coding assignments for the quantum machine learning MOOC created by Peter Wittek on EdX in the Spring 2019

Practical_DL

DL course co-developed by YSDA, HSE and Skoltech

Practical_RL

A course in reinforcement learning in the wild

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

software-engeneering-python