xhaoAI's repositories
BayesianRecurrentNN
Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al
RL_GAN_SQL
uploading...
Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
awesome-lane-detection
lane detection
Camera-motion-classification-in-a-video-file
Classification of the video file into one of the 5 classes (Static, Pan, Tilt, Zoom, Motion-Still) based on the camera/object motion in the video
Data-Science-Competitions
Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize the traffic efficiency.
Deep_Learning_Autonomous_Car
Links related to Deep learning and Autonomous Cars
driving_behaviour_classification
LSTM for driving behaviour classification
face2face-demo
pix2pix demo that learns from facial landmarks and translates this into a face
head-pose-estimation
Head pose estimation by TensorFlow and OpenCV
lanenet-lane-detection
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/
opencv_tutorial
基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
pyannote-video
Face detection, tracking and clustering in videos
pytorch-GAN-timeseries
GANs for time series generation in pytorch
recent-learning
first repository
Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision
We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.
sumo-rl
A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.
Tencent2019_Preliminary_Rank1st
The code for 2019 Tencent College Algorithm Contest, and the online result ranks 1st in the preliminary.
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
TensorFlow_Engineering_Implementation
The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>
traffic-lights
Keras+Tensorflow reinforcement learning on SUMO traffic light systems