Kei18
Follow
Stars
Minimal tutorial on making a simple website with GitHub Pages
Research code implementing the search AI agent for Hanabi, as well as a web server so people can play against it
Implementations of various algorithms used to solve the problem of Multi-Agent Pickup and Delivery (a generalization of Multi-Agent Path Finding).
Harness the power of Rust. Those fast productivity tools based on Rust.
💥 Blazing fast terminal file manager written in Rust, based on async I/O.
An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)
Fast and embedded solvers for nonlinear optimal control
Open deep learning compiler stack for cpu, gpu and specialized accelerators
A library for differentiable nonlinear optimization
Optax is a gradient processing and optimization library for JAX.
Hardware accelerated, batchable and differentiable optimizers in JAX.
Differentiating convex optimization programs w.r.t. program parameters
Differentiable convex optimization layers
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dy…
A customizable, modular, responsive, lightbox gallery plugin.
FizzBuzz Enterprise Edition is a no-nonsense implementation of FizzBuzz made by serious businessmen for serious business purposes.
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
An extension of the Flexible Collision Library
Deep Reinforcement Learning: Zero to Hero!
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Command line interface for testing internet bandwidth using speedtest.net
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
An extremely fast Python linter and code formatter, written in Rust.
An open-source cross-platform alternative to AirDrop
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A playbook for systematically maximizing the performance of deep learning models.