A simple Java AI library for personal use.

Computational graph for Java.

Code for the part 2 of the tutorial on pychain

Predict the number of bikeshare users on a given day by building my own deep-learning library.

ICDSS Machine Learning Workshop Series: Neural Networks

Automatic differentiation

A collection of all projects pertaining to different layers in the SDC software stack

Code for the part 1 of the tutorial on pychain

Library to manipulate tensors on the GPU.

An aggregation of my experiments in Neural Networks and Deep Learning using TensorFlow.

Tutorial code on how to build your own Deep Learning System in 2k Lines

Strongly-typed, dependency based application framework for code/data separation with dependency injection and data passing.

Small tools for Tensorflow.

Implementing a neural network classifier for cifar-10

Tools for building function graphs

Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosophy of Parameter Server and Ring-AllReduce collective communication.

A simple library for building computational graphs with autodiff support.

AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Model-based Policy Gradients