steveKapturowski

tensorflow-rl

Implementations of deep RL papers and random experimentation

async-deep-rl

A Tensorflow based implementation of "Asynchronous Methods for Deep Reinforcement Learning": https://arxiv.org/abs/1602.01783

elliptic-curves

learning-to-learn

Learning to Learn in TensorFlow

QFT_Project

Provides classes and methods to extract statistical quantities from Monte-Carlo Simulations of 2D Ising and XY models

steveKapturowski.github.io

async-rl

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

biaxial-rnn-music-composition

A recurrent neural network designed to generate classical music.

curvy

helper utilities for GR calculations

DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

GA3C

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gan-zoo

gensim

Topic Modelling for Humans

khan-exercises

A framework for building exercises to work with Khan Academy.

lbfgs

Port of l-BFGS from Torch to Tensorflow

modular_rl

Implementation of TRPO and related algorithms

nn_q_learning_tensorflow

Neural network based Q-learning in tensorflow

pylattice

tools for lattice quantum chromodynamics simulations and more

pyQCD

pyQCD provides a Python library for running small-scale lattice QCD simulations on desktop and workstation computers.

sendgrid-python

SendGrid Python Library

tensorflow

Computation using data flow graphs for scalable machine learning

WassersteinGAN.tensorflow

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875