Weekly BigData & ML Roundup – July 20, 2017

Examples

Twitch Streamer
Spark Streaming library for reading chat messages from Twitch.tv

Deep Learning Project
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Depression Detect
Predicting depression from acoustic features of speech using a Convolutional Neural Network.

Neural Machine Translation (seq2seq) Tutorial
This tutorial gives readers a full understanding of seq2seq models and shows how to build a competitive seq2seq model from scratch.

Iris: A Conversational Agent for Data Science
A extensible conversational agent for data science tasks

Toolsets

Guild AI
Guild AI supplements your TensorFlow™ operations by collecting a wide range of information about your model’s performance

TF Stage
A fast and canonical project setup for TensorFlow models. The most difficult part of getting started with TensorFlow isn’t deep learning, it’s putting together hundreds of API calls into a cohesive model.

Hugo Jupyter
Publish Jupyter notebooks with Hugo

Models

Foolbox
Python toolbox to create adversarial examples that fool neural networks

Facebook SparseConvNet
This is the Torch/PyTorch library for training Submanifold Sparse Convolutional Networks

Lip Reading
Cross Audio-Visual Recognition using 3D Architectures

Libraries

Catboost
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

Tensorforce
A TensorFlow library for applied reinforcement learning

Intel OAP
Optimized Analytics Package for Spark Platform

Apache Olingo
A Java library and extensions around the Open Data specification.

Finch
Many Machine Learning Models based on TensorFlow / PyTorch (Keep Updating)

Dense AI
A library for dense inference and training of Convolutional Neural Networks (CNNs) on Images for Segmentation and Detection in PyTorch

Tensorflow Scala
TensorFlow API for the Scala Programming Language

Framework

Apache Hawq (incubating)
A Hadoop native SQL query engine that combines the key technological advantages of MPP database with the scalability and convenience of Hadoop


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Weekly BigData & ML Roundup – July 13, 2017

Examples

Awesome Machine Learning On Source Code
Interesting links & research papers related to Machine Learning applied to source code

TensorFlow World Resources
The purpose of this project is to introduce a shortcut to developers and researcher for finding useful resources about TensorFlow.

Deep Learning with Cats
Deep learning with cats (^._.^)

Image Captioning
Image Captioning using InceptionV3 and beam search

Aerial Crack Detection with Caffe
Detect and recognize the aerial pavament crack using Caffe.

Toolsets

Jupyshare
JupyShare lets you release your notebook to the cloud and gives you a public endpoint for it through ngrok

Facets
Visualizations for machine learning datasets

Models

RON
Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017

InferSent
Sentence embeddings (InferSent) and training code for NLI.

Scatteract
Project which implements extraction of data from scatter plots

Reco
Fast Weighted Alternating Least Squares for collaborative filtering and topic modeling

Libraries

Certigrad
A proof-of-concept for Bug-free machine learning on stochastic computation graphs

AMD MIOpen
AMD’s Machine Intelligence Library


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Weekly BigData & ML Roundup – July 6, 2017

Examples

Awesome Deep Learning Resources
Deep learning resources, useful for revisiting topics or for reference

19 Questions
A machine learning / bayesian inference assigning attributes to objects

Sleephow
Deep neural network for predicting sleep time and quality

bitpredict
Machine learning for high frequency bitcoin price prediction

Toolsets

Bayesian Bootstrap
bayesian bootstrapping in python

Xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

Apollo
An open autonomous driving platform

Models

Stochastic On-Time Arrival
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem

Graph Auto-Encoders
Implementation of Graph Auto-Encoders in TensorFlow

YellowFin with Pytorch
Auto-tuning momentum SGD optimizer

Library

Microsoft ELL
The Embedded Learning Library allows you to build and deploy machine-learned pipelines onto embedded platforms, like Raspberry Pis, Arduinos, micro:bits, and other microcontrollers.


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Weekly BigData & ML Roundup – June 29, 2017

Examples

TensorFlow World
Simple and ready-to-use tutorials for TensorFlow

Deep Improvisation
Easy-to-use Deep LSTM Neural Network to generate song like containing improvisation.

NNabla Notebook with Docker
Experiment with CPU/GPU enabled Sony’s Neural Network Library using Docker

Neuroscience Lab Hacks
Resources for data driven neuroscientists, your contributions are most welcome

Toolsets

Apache Joshua (incubating)
A statistical machine translation toolkit for both phrase-based and syntax-based decoding

Keras Visualization Toolkit
Neural network visualization toolkit for keras

Models

Neural Tokenizer
Tokenize English sentences using neural networks.

Deep Atrous CNN Text Network
End-to-end word level model for sentiment analysis and other text classifications

3D Convolutional Speaker Recognition
This repository contains the code release for our paper titled as “Text-Independent Speaker Verification Using 3D Convolutional Neural Networks”

Libraries

Sony NNabla
Neural Network Libraries NNabla is a deep learning framework that is intended to be used for research, development and production.

Apache Mnemonic (incubating)
An advanced hybrid memory storages oriented library that proposes a non-volatile/durable Java object model and durable computing service that bring several advantages to significantly improve the performance of massive real-time data processing/analytics.

Solid
A comprehensive gradient-free optimization framework written in Python

Komputation
Komputation is a neural network framework for the JVM written in the Kotlin programming language.


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Weekly BigData & ML Roundup – June 22, 2017

Examples

Tweet Classifier
Tweet crawling and classification.

A Machine Learning Tutorial in Python3
A machine learning algorithms tutorials mainly in Python3.

Machine Learning for iOS
List of Machine Learning, AI, NLP solutions for iOS.

Toolsets

IBM PixieDust
Python Helper library for Spark IPython Notebooks.

Mutters
A framework for building bot brains.

Tetre
A Toolkit for Exploring Text for Relation Extraction.

DSPP Keras
Protein order and disorder data for Keras and Tensor Flow frameworks with automated update cycle made for continuous learning applications.

Persimmon
A visual dataflow programming language for sklearn.

Models

Relation Network Tensorflow
Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.

Tying Word Vectors and Word Classifiers
Implementation for “Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling”.

Sequence to Sequence RNN
Signal prediction with a seq2seq RNN model in TensorFlow.

Libraries

Tensor2Tensor Transformers
A library for generalized sequence to sequence models.

Spotify Scio
A Scala API for Apache Beam and Google Cloud Dataflow.

Moose
A platform for software and data analysis based on Pharo.

 


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Weekly BigData & ML Roundup – June 15, 2017

Examples

Datasharing
The Leek group guide to data sharing

The Terrible Deep Learning List
15 working examples to get you started with Deep Learning without learning any of the math

Fantastic Machine Learning
A curated list of machine learning resources, preferably in Swift

Neural Japanese Transliteration
Can neural networks transliterate Romaji into Japanese correctly?

Deep Learning Flappy Bird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

Music Genre Classifier
Machine learning approach to classify music based on genres

Vehicle Detection Project
Vehicle Detection with Convolutional Neural Network

Toolsets

Marching Neural Networks
Raymarching neural network using shaders

Madplotlib
A C++ wrapper of Qt Charts that looks, tastes and smells like matplotlib but isn’t.

EasyML
Easy Machine Learning

TensorBoard
TensorFlow’s Visualization Toolkit

Models

MNIST DRAW
This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Activation Visualization Histogram
Compare SELUs (scaled exponential linear units) with other activation on MNIST, CIFAR10, etc.

SSGAN Tensorflow
A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks.

Libraries

Chimney
Scala library for boilerplate-free data transformations

Databricks Spark Deep Learning
Deep Learning Pipelines for Apache Spark


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Weekly BigData & ML Roundup – June 8, 2017

Examples

Tensorflow Exercises
TensorFlow Exercises – focusing on the comparison with NumPy.

Foundations for Deep Learning
Building a scalable foundation for deep learning

Machine Learning Surveys
A curated list of Machine Learning Surveys, Tutorials and Books.

Toolsets

Visidata
A console spreadsheet tool for discovering and arranging data

GopherNotes
It’s time to use Go in notebooks.

Models

Diracnets
Training Very Deep Neural Networks Without Skip-Connections

Tacotron
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

ORGAN
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

WebDNN
Fastest DNN Execution Framework on Web Browser

Libraries

Bender
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Cupy
NumPy-like API accelerated with CUDA

Microsoft MLSpark
Microsoft Machine Learning for Apache Spark


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