Stars
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A toolkit for developing and comparing reinforcement learning algorithms.
Python sample codes for robotics algorithms.
Open source platform for the machine learning lifecycle
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Python Implementation of Reinforcement Learning: An Introduction
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
An educational resource to help anyone learn deep reinforcement learning.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
PyTorch implementations of deep reinforcement learning algorithms and environments
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
Open-Source,ROS Robot Dog Kit
erlerobot / gym-gazebo
Forked from openai/gymRefer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Markov Decision Process (MDP) Toolbox for Python
A Python sandbox for decision making in dynamics
Data Labeling, Tracking and Annotation with AI
A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/
The AIPlan4EU Unified Planning Library
Reinforcement Learning Methods with PyTorch
Simple rqt-based ROS GUI for visualizing graphviz dotcode published over a ROS std_msgs/String topic.
ISRg GIT repository for the EU project DURABLE
Códigos asociados a mi trabajo sobre Deep Reinforcement Learning en el contexto de la exploración completa del Lago Ypacaraí (Paraguay)
Computes closed-form sensitivity analysis of a task represented as Discrete Time Markov Chain in function of its functionality outcome probabilities
Petri Nets editor for designing robotics plans using the framework developed by Pedro Lima. and Hugo Costelha at IST in Lisbon, Portugal.
Back-end for managing coopetitions in the EuroCore.