Zhu Xiaolong's starred repositories
annotated-transformer
An annotated implementation of the Transformer paper.
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
Awesome-LLM4AD
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
torchprofile
A general and accurate MACs / FLOPs profiler for PyTorch models
TensorRT-Model-Optimizer
TensorRT Model Optimizer is a unified library of state-of-the-art model optimization techniques such as quantization, pruning, distillation, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM or TensorRT to optimize inference speed on NVIDIA GPUs.
CVPR-2023-24-Papers
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code included. ⭐ support visual intelligence development!
navigation_experimental
Experimental navigation techniques for ROS robots.
lidar_obstacle_detector
3D LiDAR Object Detection & Tracking using Euclidean Clustering, RANSAC, & Hungarian Algorithm
QSchematic
A library that allows creating diagrams such as flowcharts or even proper engineering schematics within a Qt application.
geomdl-examples
Example scripts for the NURBS-Python (geomdl) package
log-MPPI_ros
ROS package for autonomous navigation of AGVs in unknown cluttered environments using MPPI and log-MPPI
frenet_optimal_planner
Implementation of the Frenet Optimal Planning Algorithm (with modifications) in ROS.
Racing-LMPC-ROS2
C++ ROS2 packages that implement learning model predictive control for real-world autonomous race cars.
tower_defense
Tower defense game written in Flecs
eigenrealtime
How to make Eigen C++ code real-time
BehAVExplor
BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems (ISSTA 2023)
AlignmentExample
A series of examples showing how to solve the alignment problems in vectorization.
accelerated-RS-planner
Freespace Reeds-Shepp planner that is an order of magnitude faster than OMPL's implementation with no compromise, no parallelization, and no multi-threading.
underspecified-RS-planner
Introduces and solves the under-specified Reeds-Shepp problem: find the vehicle orientation that results in the shortest path.