Stars
Hackable and optimized Transformers building blocks, supporting a composable construction.
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …
PyTorch NFFT and Fast Kernel Sums via Slicing
Assetto Corsa OpenAI Gym Environment
3D-PointMass-EKF for State Estimation coupled with STM-UKF for Side Slip Angle Estimation
zalo / mujoco_wasm
Forked from stillonearth/MuJoCo-WASMSimulate and Render MuJoCo Models in the Browser!
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…
A Python library for communicating with Arduino microcontroller boards
A simple LiDAR odometry method reducing the complexity and configuration burden of localization algorithms.
CURL: Continuous, Ultra-compact Representation for LiDAR
High-speed Large Language Model Serving for Local Deployment
autonomalabs / AWSIM
Forked from tier4/AWSIMOpen source simulator for autonomous racing
FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network (CVPR 2023)
PyTorch and TensorFlow implementation of NCP, LTC, and CfC wired neural models
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.
The Kalibr visual-inertial calibration toolbox
Autonomous Navigation and Collision Avoidance for Ground Robots
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modi…