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Search results for pytorch robotics

76 search results found

Kornia ⭐ 9,066

Geometric Computer Vision Library for SpatialAI

Stable Baselines3 ⭐ 7,292

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Rl Baselines3 Zoo ⭐ 1,640

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Theseus ⭐ 1,526

A library for differentiable nonlinear optimization

Gradslam ⭐ 1,162

gradslam is an open source differentiable dense SLAM library for PyTorch

Pypose ⭐ 1,103

A library for differentiable robotics.

Neural Slam ⭐ 592

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Unified Reinforcement Learning Framework

Pytorch Dense Correspondence ⭐ 460

Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"

Robotics Rl Srl ⭐ 455

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Stable Baselines3 Contrib ⭐ 384

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

Nimblephysics ⭐ 368

Nimble: Physics Engine for Biomechanics and Deep Learning

Pytorch Rl ⭐ 356

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

Cliport ⭐ 297

CLIPort: What and Where Pathways for Robotic Manipulation

Learningbycheating ⭐ 287

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

Depth From Motion ⭐ 285

[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion

Rl Exploration Baselines ⭐ 279

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym

Pytorch_kinematics ⭐ 251

Robot kinematics implemented in pytorch

Centersnap ⭐ 243

Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"

Vectorizedmultiagentsimulator ⭐ 210

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Fastflownet ⭐ 165

FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation (ICRA 2021)

Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization

🚀 A fast safe reinforcement learning library in PyTorch

Benchmarl ⭐ 115

A collection of MARL benchmarks based on TorchRL

Pose Interpreter Networks ⭐ 115

Real-time robotic object pose estimation with deep learning

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

Bayesian_hilbert_maps ⭐ 93

Mapping spatiotemporal patterns in an online and continuous fashion

Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

adam implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

Deepseqslam ⭐ 76

The Official Deep Learning Framework for Robot Place Learning

Logg3d Net ⭐ 73

[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.

Spatial Intention Maps ⭐ 65

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

Simurlacra ⭐ 61

reinforcement learning from randomized simulations

3 D Scene Graph ⭐ 59

3D scene graph generator implemented in Pytorch.

Form2fit ⭐ 57

Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

Robo Vln ⭐ 56

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

Hierarchical Universal Language Conditioned Policies

Deep Whole Body Control ⭐ 51

[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

Rl Code Resources ⭐ 49

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

Min Decision Transformer ⭐ 47

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

Policy Adaptation During Deployment ⭐ 46

Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.

A PyTorch implementation of Implicit Behavioral Cloning by Florence et al

Disco Pytorch ⭐ 37

Differentiable Scan Context with Orientation

AtLoc: Attention Guided Camera Localization

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Code Repository for Regression Planning Networks

Ubuntu For Robotics ⭐ 27

This repository is for setting-up cuda-9/8, nvidia-396/387/384 driver, OpenCV-3.3, ROS Kinetic, Tensorflow-1.11/1.7/1.4/1.2.1, Pytorch-0.4

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Ggcnn_cornell_dataset ⭐ 27

cornell grasp dataset analyses and process

Deep Monocular Visual Odometry using PyTorch (Experimental)

Ghost Deblurgan ⭐ 25

This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

Solving Occlusion ⭐ 23

ETH Zürich Master thesis on Solving Occlusion in Terrain Mapping with Neural Networks

Spatial Action Maps ⭐ 23

Learning robotic mobile manipulation with deep reinforcement learning

[ICRA2023] Grounding Language with Visual Affordances over Unstructured Data

Pytorch_robotics_transformer ⭐ 20

A PyTorch re-implementation of the RT-1 (Robotics Transformer)

Vprtempo ⭐ 20

Code for VPRTempo, our temporally encoded spiking neural network for visual place recognition.

Hierarchical Meta Reinforcement Learning ⭐ 19

This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.

Mechamodlearn ⭐ 18

Structured framework for learning mechanical systems in PyTorch

Revolver ⭐ 17

REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer (ICML 2022 Long Oral)

Continuousprediction ⭐ 16

Formulating Model-based RL Dynamics as a continuous rather then one step prediction

Deep Learning ⭐ 15

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Rl Based Control Of A Soft Continuum Robot ⭐ 10

Simulation based Soft Continuum Robot Control via Reinforcement Learning

TACO-RL: Latent Plans for Task-Agnostic Offline Reinforcement Learning

WIP implementation of Probabilistic Differential Dynamic Programming in PyTorch

Normal Inference Module in PyTorch, IROS 2020

Deeplearningstudy ⭐ 6

Artificial Intelligence study

Ros2 Maze Solving Computer Vision ⭐ 6

Interferobotproject ⭐ 6

Interferobot: aligning an optical interferometer by a reinforcement learning agent

Curvature ⭐ 6

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

Rl_robotics_tutorial ⭐ 5

This is a project for robotic control with reinforcement learning

Lovely_robot ⭐ 5

a raspberry pi robot; neural network; object detection & tracking; stereo matching & 3d reconstruction

Robot_car ⭐ 5

Creating a physical robot that learns to play a game with reinforcement learning!

Assemblenet ⭐ 5

Implementing AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Explain using Pytorch

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