zhchxi11

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

blocks

A Theano framework for building and training neural networks

cart

Classification and Regression Trees with Random Forest implemented in Python

CNN_sentence

CNNs for sentence classification

crawler

crawl some app info

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

zhchxi11/aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

zhchxi11/blocks

A Theano framework for building and training neural networks

zhchxi11/deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

zhchxi11/deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

zhchxi11/deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop, Spark & GPUs

zhchxi11/DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

zhchxi11/dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

zhchxi11/dl4j-spark-ml-examples

zhchxi11/dlflow

DLFlow is a deep learning framework.

zhchxi11/fuck-login

模拟登录一些知名的网站，为了方便爬取需要登录的网站

zhchxi11/Graph-Neural-Network-Review

zhchxi11/InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

zhchxi11/lda

Topic modeling with latent Dirichlet allocation

zhchxi11/leetcode

leetcode代码

zhchxi11/node2vec

zhchxi11/python-dnn

Python Deep Neural Network ToolKit.

zhchxi11/random

Ejemplo de uso de GITHUB App

zhchxi11/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

zhchxi11/reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

zhchxi11/RNNLM-1

A Recurrent Neural Network Language Model

zhchxi11/scala-spark-examples

zhchxi11/spark-gpu-examples

zhchxi11/spark_study

spark源码学习

zhchxi11/Stack-RNN

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

zhchxi11/stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

zhchxi11/StockSharp

Trading and algorithmic trading open source platform (stock markets, forex, bitcoins and options).

zhchxi11/taxi

zhchxi11/Theano-Tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

zhchxi11/x-deeplearning

An industrial deep learning framework for high-dimension sparse data

zhchxi11/xgboost

eXtreme Gradient Boosting (GBDT, GBRT or GBM) Library for large-scale and distributed machine learning, on single node, hadoop yarn and more.