Weekly Machine Learning Opensource Roundup – Mar. 21, 2019

Examples

March-Madness-ML
Machine learned bracketology

UnityImageSynthesisTutorial1
Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

FirmAI Report
Automated machine learning company report in an interactive ‘PDF style’ from four dimensions: employees, customers, shareholders (owners) and management.

neuroptica
A flexible chip-level simulation platform for nanophotonic neural networks written in Python/NumPy

Toolsets

Cutouts image explorer
This is an interactive tool for visualize and classify multiple images at a time. It running asyncio server in the back end and support up 10,000 images reasonable well.

XAI
An eXplainability toolbox for machine learning

Melusine
A high-level library for emails classification and feature extraction

Models

Transformer-TTS
A Pytorch Implementation of “Neural Speech Synthesis with Transformer Network”

STAWM
Code for the paper ‘A Biologically Inspired Visual Working Memory for Deep Networks’

TD3
PyTorch implementation of TD3 and DDPG for OpenAI gym tasks

Libraries

pggraphblas
High Performance Graph Processing with Postgres and GraphBLAS

bbopt
Black box hyperparameter optimization made easy.

spark-select
A library for Spark dataframes from Minio object storage using Select API

dragonfly
An open source python library for scalable Bayesian optimisation.

piflow
πflow is a big data flow engine with spark support

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