gaoyuankidult

Awesome-LLM-Robotics

A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

tensorboard-aggregator

Aggregate multiple tensorboard runs to new summary or csv files

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

tleague_projpage

wuhan2020

新型冠状病毒防疫信息收集平台

Real-Time-Voice-Cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

bsuite

bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

pytorch-rl

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

open-ai-yumi

Open AI gym - extended with YuMi environment

pepper_robot

Pepper robot API for Python at CTU - Prague 2018

Salt-Pepper

Robotics Project

netron

Visualizer for neural network, deep learning and machine learning models

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Regym

striatum

Contextual bandit in python

pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

multi-armed-bandit-with-policy-gradient

A multi armed bandit Reinforcement learning problem using Policy Gradient.

Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

clip-as-service

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

deep-RL-trading

playing idealized trading games with deep reinforcement learning

MAML-tf

Tensorflow Implementation of MAML

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

marathon-envs

A set of high-dimensional continuous control environments for use with Unity ML-Agents Toolkit.

MujocoUnity

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

unity3d-scripts

A Collections of useful Scripts/Examples for Unity3d

multiagent-competition

Code for the paper "Emergent Complexity via Multi-agent Competition"

holodeck

High Fidelity Simulator for Reinforcement Learning and Robotics Research.