Weekly Machine Learning Opensource Roundup – Feb. 1, 2018


Course materials/Homework materials for the FREE MOOC course on “Creative Applications of Deep Learning w/ Tensorflow”

A tiny lib with pocket-sized implementations of machine learning models in NumPy.

Awesome Text Summarization
The guide to tackle with the Text Summarization

Moviebox is a content based machine learning recommending system build with the powers of tf-idf and cosine similarities

Emotional Generative Dialog System

Image Generator that can produce good images with relatively small number of examples and without any resolution dependencies.

Simple(x) Global Optimization
Experimental Global Optimization Algorithm


An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Data Linter
A lightweight, automated sanity checking for ML Data Sets

PyTorch based Deep Learning Toolbox

React Timeseries Charts
Declarative and modular timeseries charting components for React


An open-source implementation of the AlphaGoZero algorithm

Adversarial Image Defenses
Countering Adversarial Image using Input Transformations.

Integrated Gradients
Python/Keras implementation of integrated gradients presented in “Axiomatic Attribution for Deep Networks” for explaining any model defined in Keras framework.

Variational Shape Learner
VSL employs an unsupervised approach to learning and inferring the underlying structure of voxelized 3D shapes

A TensorFlow Implementation of DC-TTS: yet another text-to-speech model


A Modern Library for 3D Data Processing


Like to add your project? tweet @stkim1!

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s