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groot

Graphical Editor to create BehaviorTrees. Compliant with BehaviorTree.CPP

highway-env

A minimalist environment for decision-making in autonomous driving

hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

hpipm

High-performance interior-point-method QP solvers

irl-maxent

Maximum Entropy and Maximum Causal Entropy Inverse Reinforcement Learning Implementation in Python

katago

GTP engine and self-play learning in Go

lerobot

🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch

lightzero

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

lucidgames.jl

magic

Macro-Action Generator-Critic (MAGIC) - Learning Macro-actions for online POMDP planning

maskdp_public

mile

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

min-decision-transformer

Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym

minicpm

MiniCPM-2B: An end-side LLM outperforms Llama2-13B.

mpcc

Model Predictive Contouring Controller (MPCC) for Autonomous Racing

mtm

MTM Masked Trajectory Models for Prediction, Representation, and Control.

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nodeeditor

Qt Node Editor. Dataflow programming framework

nuplan-devkit

The devkit of the nuPlan dataset.

nuplan_garage

[ARXIV'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning

opengoddard

Trajectory Optimization for Python

particle-filter-tutorial

plotly.js

Open-source JavaScript charting library behind Plotly and Dash

polympc

Light-weight C++ library for fast embedded nonlinear optimisation and optimal control

pomdp-baselines

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

pomdpexamples.jl

Examples and Tutorials for POMDPs.jl

pomdps.jl

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

posteriors

Uncertainty quantification with PyTorch

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

protobuf

Protocol Buffers - Google's data interchange format