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A fast and simple implementation of learning algorithms for robotics.
Build 3D Gaussian Splatting from scratch with NVIDIA Warp in Python — CPU/GPU compatible, with a clean and minimalist design focused on learning modern graphics.
CUDA accelerated rasterization of gaussian splatting
Isaac Gym Environments for Legged Robots
A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
Unified framework for robot learning built on NVIDIA Isaac Sim
External extenstion template based on Isaac Lab
ViPlanner: Visual Semantic Imperative Learning for Local Navigation
Fast, efficient and accurate multi-resolution, multi-sensor 3D occupancy mapping
iPlanner: Imperative Path Planning. An end-to-end learning planning framework using a novel unsupervised imperative learning approach
adrialopezescoriza / ganspace
Forked from harskish/ganspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023
Pointcloud-based graph SLAM written in C++ using open3D library.
DayDreamer: World Models for Physical Robot Learning
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
A library for differentiable robotics on manifolds.
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.