KailinTong's Stars
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
HKUST-Aerial-Robotics/Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
zhm-real/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
osqp/osqp
The Operator Splitting QP Solver
ZJU-FAST-Lab/ego-planner
ZJU-FAST-Lab/ego-planner-swarm
An efficient single/multi-agent trajectory planner for multicopters.
Thinklab-SJTU/Awesome-LLM4AD
A curated list of awesome LLM for Autonomous Driving resources (continually updated)
lean-dojo/LeanCopilot
LLMs as Copilots for Theorem Proving in Lean
voldemortX/pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
mimoralea/gdrl
Grokking Deep Reinforcement Learning
ZJU-FAST-Lab/GCOPTER
A General-Purpose Trajectory Optimizer for Multicopters
KovenYu/WonderJourney
SYSU-STAR/RACER
Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)
carla-simulator/carla-autoware
Integration of AutoWare AV software with the CARLA simulator
ZJU-FAST-Lab/sampling-based-path-finding
interaction-dataset/interaction-dataset
Interaction Dataset Python Scripts
ZJU-FAST-Lab/am_traj
Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight
KumarRobotics/conformal_lattice_planner
ChuntaoLu/Algorithms-Design-and-Analysis
Algorithms I learned from Stanford's Algorithms: Design and Analysis
chauvinSimon/hmm_for_autonomous_driving
🎓 Educational application of Hidden Markov Model to Autonomous Driving 🚕🚙🚗
AndrewWalker/pydubins
Python wrapper of the C version of the Dubins-Curves library
mikemyl/algorithms-stanford
This repo holds my solutions (in python) for the programming assignments of the Coursera course Algorithms - Design and Analysis (Stanford)
changliuliu/TemporalOptimization
Speed profile planning via temporal optimization
TUMFTM/Wale-Net
Neuronales Netz zur Trajektorienprädiktion von Fahrzeugen mit OnlineLearning
KailinTong/Algorithms-Design-and-Analysis
KailinTong/Deep-Learning-Specialization
Deep Learning Specialization from coursera
KailinTong/Dense-Deep-Reinforcement-Learning
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
KailinTong/Self-Driving-Cars-Specialization
Projects in Self-Driving Cars Specialization.