A Python sandbox for decision making in dynamics

An index of algorithms for learning causality with data

A PyTorch implementation of L-BFGS.

Implementation of the Differentiable Neural Computer in Tensorflow

Models built with TensorFlow

TensorFlow implementation of Deep Reinforcement Learning papers

TensorFlow Tutorials

Tensorflow + Keras + OpenAI Gym implementation of "Asynchronous Methods for Deep Reinforcement Learning"

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Python wrapper for Stanford CoreNLP

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

Computation using data flow graphs for scalable machine learning

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Python Library for Probabilistic Graphical Models

Simple structured learning framework for python

My UFLDL EXERCISE CODE