aaronzhudp Goto Github PK

aaronzhudp

Config files for my GitHub profile.

android-object-detection

:coffee: Fast-RCNN and Scene Recognition using Caffe

async-rl

Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

asynchronous-methods-for-deep-reinforcement-learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

atari-py

A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface

chatterbot

ChatterBot is a machine learning, conversational dialog engine.

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn_sentence

CNNs for sentence classification

deep_q_rl

Theano-based implementation of Deep Q-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.

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

deeplearningvideogames

densecap

Dense image captioning in Torch

doubledqn

Program to implement double DQN with ATARI 2600

dqn-chainer

dqn_tensorflow

Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'

drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

einsteinpy

Repository for the EinsteinPy core package :rocket:

gym

A toolkit for developing and comparing reinforcement learning algorithms.

live-eye--large-scale-object-recognition

This project uses deep machine learning to perform object recognition at large scale.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

pokubot

Clash of Clans bot

rnn-tutorial-gru-lstm

Language Model GRU with Python and Theano

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

simple_dqn

Simple deep Q-learning agent.

sketchy

snownlp

Python library for processing Chinese text

tensorflow

Computation using data flow graphs for scalable machine learning

tushare

TuShare is a utility for crawling historical data of China stocks