Yong Sun's repositories
ACER
Actor-critic with experience replay
Beijing_DIDI
滴滴GPS数据处理
Competition-Aware-Crowdsourcing
Task recommendation for corwdsourcing
Crowed-Sourcing-Mapping
Crowdsourced data from OpenStreetMap is used to automate the classification of satellite images into different land cover classes (impervious, farm, forest, grass, orchard, water). Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played a key role in providing land cover datasets,
DataStructuresAndAlgorithmsInCSharp
Data Structures & Algorithms in C #
Deep-Reinforcement-Learning-Recommendation-System
Deep-Reinforcement-Learning-Recommendation-System
DeepRecommender
Deep learning for recommender systems
dissecting-reinforcement-learning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
erl_paper_nips18
Code accompanying the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" accepted at NIPS 2018
Evolution-Strategies-
Evolution Strategies for Reinforcement Learning
evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
EvolutionaryReinforcementLearning
Evolutionary Reinforcement Learning
geom
Algorithms for geometric operations
indexing
Spatial indexing techniques
Keras-Neuro-Evolution-Trading-Bot-Skeleton
A skeleton for creating a neuro-evolution reinforcement learning trading bot with a Keras neural network.
Keras-Remote-sensing-image-retrieval
this is an implement of DenseNet using keras ,this project can do Remote sensing image classifiy or retrieval.I trained and evaluated this model on a dataset called PatternNet.
lectures
Lecture notes and course program
Machine-Learning-and-Reinforcement-Learning-in-Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
makeyourownneuralnetwork
Code for the Make Your Own Neural Network book
MutiArmedBandit-DeepLearning
Multi-armed bandit algorithm with tensorflow and 11 policies
paac-pytorch
PyTorch implementation of PAAC from "Efficient Parallel Methods for Deep Reinforcement Learning"
pachongTravel
爬虫旅游大数据平台
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement_Learning_in_Python
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
Restricted_Boltzmann_Machines_for_Collaborative_Filtering
RBM to rebuild Netflex data and prediction
TensorANFIS
A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)