IT internships in Russia 🇷🇺

A complete computer science study plan to become a software engineer.

Fast samplers for Neyman-Scott processes.

Collection of Summer 2025 tech internships!

syzkaller is an unsupervised coverage-guided kernel fuzzer

🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.

Linux kernel source for NI Linux Real-Time

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

Official PyTorch implementation of DW-GAN, 1st place solution of NTIRE 2021 NonHomogeneous Dehazing Challenge (CVPR Workshop 2021).

Domain Adaptation for Image Dehazing, CVPR2020

Deep residual haze network for image dehazing and deraining

A collection of AWESOME things about domian adaptation

README and scripts for the Cityscapes Dataset

Variational Quantum Circuit Simulator for Quantum Computation Research

Modern C++ quantum computing library

Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

The Hugging Face course on Transformers

Latex code for making neural networks diagrams

A playbook for systematically maximizing the performance of deep learning models.

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

Code for my medium article

A curated list of resources related to training of GANs

Tensors and Dynamic neural networks in Python with strong GPU acceleration

RoadMap to becoming an embedded systems engineer in 2018

starter from "How to Train a GAN?" at NIPS2016

Image-to-Image Translation in PyTorch

C++那些事

PyTorch implementations of Generative Adversarial Networks.

A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)