Popular GitHub Repositories for Led Controller

? The Cloud-Native API Gateway and AI Gateway.

The Cloud-Native API Gateway and AI Gateway

The Cloud-Native API Gateway and AI Gateway

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

SAPIEN Manipulation Skill Framework, an open source GPU parallelized robotics simulator and benchmark, led by Hillbot, Inc.

DockFlare - Cloudflare 隧道控制器

Lazyeat 吃饭时看剧/刷网页不想沾油手？ 对着摄像头比划手势就能暂停视频/全屏/切换视频！Lazyeat is a touch-free controller for use while eating! Don't want greasy hands while watching shows or browsing the web during meals? You can pause videos/full screen/switch videos just by gesturing to the camera!

Notes for Deep Learning Specialization Courses led by Andrew Ng.

A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.

Sonos smart speaker controller API and command-line tools

支持 JAX 的连续时间 LQR 求解器

通过carla-ros-bridge在carla上实现自动驾驶planning and control。

UAV Autonomous Systems Management

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

App-Controller: Allow users to manipulate your App with natural language

A drone control system based on deep reinforcement learning with Tensorflow and ROS

Autonomous Vehicle modelling using MATLAB and Simulink

A Python-based computer vision and AI system for skin disease recognition and diagnosis. Led end-to-end project pipeline, including data gathering, preprocessing, and training models. Utilized Keras, TensorFlow, OpenCV, and other libraries for image processing and CNN models, showcasing expertise in deep learning and machine learning techniques.

This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".