alanxu89's repositories
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
variational-autoencoder
generate MNIST using a Variational Autoencoder
pydata-berlin-2017
Finding Lane Lines for Self Driving Cars
bitcoin0.1.0
bitcoin0.1.0 source
sonnet
TensorFlow-based neural network library
PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Nashpy
A library for the computation of Nash equilibria in two player games
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
dqn-atari
A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well
reinforcement-learning-an-introduction
Python code for Reinforcement Learning: An Introduction
Model-Predictive-Control
Udacity Self-Driving Car Engineer Nanodegree. Project: Model Predictive Control
AI-blog
Accompanying repository for Let's make a DQN / A3C series.
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Deep-Learning-Experiments
Notes and experiments to understand deep learning concepts
GA3C
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
tensorflow-reinforce
Implementations of Reinforcement Learning Models in Tensorflow
Inverse-Reinforcement-Learning
Implementations of selected inverse reinforcement learning algorithms.
models
Models built with TensorFlow
tensorflow
Computation using data flow graphs for scalable machine learning
DeepStack-Leduc
Example implementation of the DeepStack algorithm for no-limit Leduc poker
tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
deep_rl_ale
An implementation of Deep Reinforcement Learning / Deep Q-Networks for Atari games in TensorFlow
awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
caffe
Caffe: a fast open framework for deep learning.
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
stock_market_reinforcement_learning
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
v20-python-samples
Sample python code that uses the v20 python library