Weekly Machine Learning Opensource Roundup – May 10, 2018

Examples

Connect4
Monte Carlo Tree Search Based AI Connect 4 Bot

PyTorch Exercise
PyTorch Exercise Codes for Deep Learning Researchers.

Quantum Edward
Python tools for supervised learning on Quantum Neural Networks

Guess.js (alpha)
Libraries & tools for enabling data-analytics driven approaches to improving user-experiences on the web. The data can be driven from any number of sources, including analytics or machine learning models.

Toolsets

lgo
Interactive Go programming with Jupyter

ESPnet
End-to-End Speech Processing Toolkit

TensorScript
dependently-typed neural network DSL that shapechecks at compile time

Models

Learning-to-See-in-the-Dark
This is a Tensorflow implementation of Learning to See in the Dark in CVPR 2018, by Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun.

glc
This repository contains the code for the paper “Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise”.

seg-mentor
TFslim based semantic segmentation models, modular & extensible boutique design

Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Libraries

Machine Learning for .NET
A cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers

SharpLearning
An opensource machine learning library for C# .Net. The goal of SharpLearning is to provide .Net developers with easy access to machine learning algorithms and models.

gbrain
GPU Javascript Library for Machine Learning

SparkTDA
A package for Apache Spark providing Topological Data Analysis Functionalities.


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