Weekly Machine Learning Opensource Roundup – Sep. 20, 2018

Examples

The Machine Learning cheatsheet
A 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood

Research2Vec
Upcoming project for representing research papers as vectors / latent representations. More coming soon

Toolsets

PBO
Probability of Backtest Overfitting

Merging Models for TensorFlow Serving
This tool can merge TensorFlow frozen models(.pb file) into the same model

LogDevice
Distributed storage for sequential data

Models

question-answering
This repository contains curated PyTorch implementations of several question answering systems evaluated on SQuAD

Multi-View Network in Keras
Keras implementation of Guo et al.’s Multi-View Network (2017).

machine-translation
Sequence to sequence models for machine translation in PyTorch

neural-processes
PyTorch implementation of Neural Processes

NeuralProcesses
Neural Processes implementation for 1D regression

fastTSNE
A visualization of 160,796 single cell trasncriptomes from the mouse nervous system

Policy Gradient (PG) Algorithms
Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

Libraries

ONNX Scala
Numerically generic typeful Scala ONNX API

TonY
TensorFlow on YARN (TonY) is a framework to natively run TensorFlow on Apache Hadoop.

Deequ – Unit Tests for Data
Deequ is a library built on top of Apache Spark for defining “unit tests for data”, which measure data quality in large datasets.

 

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