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Bio: A Collection of Learning Algorithms Including Applications of Behavioral Prediction and Path Planning.
Type: User
Bio: A Collection of Learning Algorithms Including Applications of Behavioral Prediction and Path Planning.
Hybrid A* Path Planner for the KTH Research Concept Vehicle
Quadcopter path planning using RRT* and minimum jerk trajectory generation
行人行为轨迹预测
PHYRE is a benchmark for physical reasoning.
Probabilistic Modeling Toolkit for Matlab/Octave.
Library for training machine learning models with privacy for training data
Probabilistic reasoning and statistical analysis in TensorFlow
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
StarCraft II Learning Environment
Implementation of common pathfinding algorithms
Python sample codes for robotics algorithms.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch implementation of convolutional neural network visualization techniques
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Quadrotor control, path planning and trajectory optimization
Learning to Rank in TensorFlow
Python implementation of the Rapidly Exploring Random Trees path planning algorithm.
Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Reinforcement-Learning-for-Decision-Making-in-self-driving-cars
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
Robot Motion Planning Algorithms
Hybrid A Star Trajectory Planning in multi-vehicle cooperative planning in narrow free space.
n-dimensional RRT, RRT* (RRT-Star)
Simulation of RRT* algorithms with and without Dubins Nonholonomic Robot steering.
C++ implementation of RRT, RRT*, and Informed-RRT* using kd-tree for searching NN and NBHD nodes. Supports arbitrary dimensions and compiles as a shared library.
self-driving-car-behavioral-cloning
Self Driving Car Vehicle Detection
Simulation of self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.