Weekly Machine Learning Opensource Roundup – Nov. 8, 2018

Examples

The Quartz guide to bad data
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.

Awesome Relation Extraction
A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

DeOldify
A Deep Learning based project for colorizing and restoring old images

IATK
Immersive Analytics Toolkit is a Unity project to help you build high quality, interactive and scalable data visualisations in Immersive Environments (Virtual/Augmented Reality)

Toolsets

Horizon
A platform for Applied Reinforcement Learning (Applied RL)

EXP
A python experiment management toolset created to simplify two simple use cases: design and deploy experiments in the form of python modules/files.

MAMEToolkit
A Python toolkit used to train reinforcement learning algorithms against arcade games

Models

FloWaveNet
A Pytorch implementation of “FloWaveNet: A Generative Flow for Raw Audio”

WaveGlow
A Flow-based Generative Network for Speech Synthesis

pytorch-pretrained-BERT
PyTorch version of Google AI’s BERT model with script to load Google’s pre-trained models

bert-chainer
Chainer implementation of “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding”

random-network-distillation
This project introduces an exploration bonus for deep reinforcement learning methods that is easy to implement and adds minimal overhead to the computation performed.

NAO
This is the Code for the Paper “Neural Architecture Optimization”

graph2vec
A distributed implementation of “graph2vec: Learning Distributed Representations of Graphs” (MLGWorkshop 2017).

ENAS-Quantized-Neural-Networks
Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.

attn2d
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

Walklets
A lightweight implementation of Walklets from “Don’t Walk Skip! Online Learning of Multi-scale Network Embeddings” (ASONAM 2017).

Libraries

DPASF
This is a library for Data Pre-processing Algorithms for Streaming in Flink (DPASF)

HiddenLayer
A lightweight library for neural network graphs and training metrics for PyTorch and Tensorflow.

PocketFlow
An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

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