Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, Brax and other environments

Simplifying reinforcement learning for complex game environments

A detailed formulae explanation on gaussian splatting

Official Implementation of our CVPR 2023 paper: "DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields"

NR-SLAM: Non-Rigid Monocular SLAM

Fast and reliable distributed systems in Python

UAV Flight Simulator for Reinforcement Learning Research

A python library for handling poses, transforms and frames for robotics applications

[ICCV 2023] Code for NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

Surfel-based Mapping for 3d Laser Range Data (SuMa)

Inference Llama 2 in one file of pure C

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Recipes for ROS 2 Humble Hawksbill

Pytorch version of Dreamer, which follows the original TF v2 codes.

Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

PyTorch implementations of MADDPG, MAPPO (coming)

Using advances in generative modeling to learn reward functions from unlabeled videos.

LiquidCrystal Arduino library for the DFRobot I2C LCD displays

Multithreaded Python without the GIL

Docker configuration for building Linux From Scratch system

🦠 Simulator for a particle system showing life-like behaviour.

A playbook for systematically maximizing the performance of deep learning models.

CT-ICP: Continuous-Time LiDAR Odometry

Mastering Atari with Discrete World Models

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"