shafeef901

pinocchio

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

loco-mujoco

Imitation learning benchmark focusing on complex locomotion tasks using MuJoCo.

LRHControl

Learning-based Receding Horizon Control exploiting Reinforcement Learning

CoClusterBridge

Tool for managing clusters of receding horizon controllers on CPU. Aimed at facilitating the implementation of the training phase of Learning-Based Receding Horizon Control schemes.

OmniRoboGym

Wrapper on top of Omniverse Isaac Sim tailored to legged robotics control with learning techniques.

MorphoSymm

Tools for exploiting Morphological Symmetries in robotics

neural-tangents

Fast and Easy Infinite Neural Networks in Python

ros_best_practices

Best practices, conventions, and tricks for ROS

rlds

AML

Codebase for " Reducing Representation Drift in Online Continual Learning"

Co2L

Co^2L: Contrastive Continual Learning (ICCV2021)

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

learn2learn

A PyTorch Library for Meta-learning Research

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

continual-learning-baseline

PyTorch implementation of various methods for continual learning

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

mixture-density-network

Mixture density network implemented in PyTorch.

agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

LearningToLearn

Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.

awesome-ai-residency

List of AI Residency Programs

pvcnn

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

3D-PointCloud

Papers and Datasets about Point Cloud.

mayavi

3D visualization of scientific data in Python

spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

fglib

factor graph library

lio-mapping

Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

carla

Open-source simulator for autonomous driving research.

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping