Viktor Taranenko's starred repositories
JAX-in-Action
Notebooks for the "JAX in Action" book
100-exercises-to-learn-rust
A self-paced course to learn Rust, one exercise at a time.
Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
TrafficBots
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the updated version: https://github.com/zhejz/TrafficBotsV1.5
dgSPARSE-Lib
PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity
pytorch_block_sparse
Fast Block Sparse Matrices for Pytorch
awesome-graph-transformer
Papers about graph transformers.
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
safetensors
Simple, safe way to store and distribute tensors
random-fourier-features-pytorch
Implementation of "Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains" by Tancik et al.
annotated-transformer
An annotated implementation of the Transformer paper.
robotics-coursework
🤖 Places where you can learn robotics (and stuff like that) online 🤖
ModernRobotics
Modern Robotics: Mechanics, Planning, and Control Code Library --- The primary purpose of the provided software is to be easy to read and educational, reinforcing the concepts in the book. The code is optimized neither for efficiency nor robustness.
CPPDevOnWindows
Best guide to setup C/C++ development environment on Windows
sdc_course
Short course about self-driving cars
modern-cpp-features
A cheatsheet of modern C++ language and library features.
deep_vision_and_graphics
Course about deep learning for computer vision and graphics co-developed by YSDA and Skoltech.