A game theoretic approach to explain the output of any machine learning model.

A collection of various deep learning architectures, models, and tips

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

NYU Deep Learning Spring 2020

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Машинное обучение на ФКН ВШЭ

Open Machine Learning course

A course in numerical methods with Python for engineers and scientists: currently 5 learning modules, with student assignments.

Try to reproduce FaceShifter

A list of pretrained Transformer models for the Russian language.

Contains the "pycocotools" package on PyPI. Changes made to the official cocoapi about packaging.

Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks

"Basic Deep Learning" and "NNs for Computer Vision" courses materials at VK Data Academy.