Weekly Machine Learning Opensource Roundup – June 7, 2018

Examples

Emojinator
A simple emoji classifier for humans.

HD CelebA Cropper
Obtain high resolution face images from CelebA with deep image quality assessment method to evaluate and rank the cropped image quality

Reinforcement Learning Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto’s book and other research papers implemented in Python.

MNIST Tensorflow Code
It contains Data Augmentaion, Strided convolution, Batch Normalization, Leaky Relu, Global Average pooling, L2 Regularization, learning rate decay, He initialization, Tensorboard, Save, Restore

Toolsets

sklearn_msgpack
Scikit learn model persistence using MsgPack

audit-AI
A tool to measure and mitigate the effects discriminatory patterns in training data and the predictions made by machine learning algorithms trained for the purposes of socially sensitive decision processes.

Backdrop: stochastic backpropagation
A flexible and easy to implement tool for introducing stochasticity to the gradient and can be intuitively described as dropout along the backpropagation pipeline

AutoML
AutoML was built to improve the accuracy of your machine learning models and make them more accessible by automatically creating a data analysis pipeline

Models

AAPR
Automatic Academic Paper Rating: Data and Model

Code2Pix
Generating Graphical User Interfaces from Code

Residual Networks for Vehicle Detection
An implementation of Faster R-CNN applied to vehicle detection.

Self-Attention-GAN in Tensorflow
Simple Tensorflow implementation of “Self-Attention Generative Adversarial Networks” (SAGAN)

Libraries

Galileo
Scala Math – Numerical (Matlab-like) and Symbolic (Mathematica-like) tool

linselect
A fast, flexible, and performant feature selection package for python.

SOD
An Embedded, Modern Computer Vision & Machine Learning Library

Framework

Databricks MLflow
An open source platform designed to manage the entire machine learning lifecycle and work with any machine learning library


 

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