Stars
Some standard pieces I find useful in Typst: fonts, subfigures, algorithms, labeled enums, etc.
A Python-based lightweight robot simulator designed for navigation, control, and reinforcement learning
Pytorch/JAX implementation of examples in Generative Deep Learning 2nd Edition by David Foster
Official Implementation of "Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning"
MPC Locomotion controller implemented on Unitree Go2 quadruped in MuJoCo
拡散モデルを学びたい初学者向けです。書籍「コンピュータビジョン最前線 Summer 2023」の「イマドキノ拡散モデル」の解説をベースに、CIFER-10で画像生成をします
JAX-based library to train modern robotic learning models.
Skeleton for scalable and flexible Jax RL implementations
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
Implementation of Denoising Diffusion Probabilistic Models (DDPM) in JAX and Flax.
diffusionjax is a simple and accessible diffusion models package in JAX
Definitive implementation of the stochastic interpolant framework for generative modeling in jax.
Minimal JAX implementation unifying Diffusion and Flow Matching algorithms as alternative strategies for transporting data distributions.
A JAX-based simulator for autonomous driving research.
ROS base local planner plugin which uses the tangent bug algorithm
A Python package designed for research in diffusion-based generative modeling
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Python bindings for the `ikfast` library and utilities to generate the analytical inverse kinematics solution
Robotics Toolbox for Python
This project implements a simplified version of the TEB (Time Elastic Band) algorithm based on the IR-SIM platform.
Pytorch Implmentation of Multi-Marginal Schrödinger Bridge Matching (MSBM)
Graph Attention-Guided Search for Dense Multi-Agent Pathfinding (AAAI-26)