Weekly BigData & ML Roundup – Oct. 5, 2017


Pytorch Exercises
Familiarize PyTorch with simple quizzes

Fast Neural Style Transfer
Demo of in-browser Fast Neural Style Transfer with Deeplearn.JS library

2x Image Resolution
Rescale images to two times the original size using Decision Tree models. Matches and improves on traditional rescaling methods such as bilinear resampling. Noticable improvements on percieved sharpness of the image.

The AI can paint on a sketch accroding to a given specific color style.


Tensorflow UE4
Unreal Engine plugin for TensorFlow. Enables training and implementing state of the art machine learning algorithms for your unreal projects.

Validation of local and remote data tables

Apache RocketMQ
A distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability.

Apple Core ML Tools
Core ML community tools contains all supporting tools for CoreML model conversion and validation. This includes Scikit Learn, LIBSVM, Caffe, Keras and XGBoost.

Facebook ELF
An Extensive, End-To-End, Lightweight and Flexible Platform for Game Research

Visualization of NBA games from raw SportVU data logs


Semantic Segmentation
Semantic Segmentation using Fully Convolutional Neural Network.

Auto Sleep Scorer
An open-source sleep stage classification Python package

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

CycleGAN Tensorlayer
Re-implement CycleGAN in Tensorlayer

State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.

A pyTorch implementation of the DeepMoji model

PyTorch NTM
A Pytorch implementation of an NTM (Neural Turing Machine)

ShuffleNet implementation in TensorFlow


The goal of this library is to give the user the ability to efficiently train Deep Learning models in a homomorphically encrypted state without needing to be an expert in either

Fully asynchronous, pure JavaScript implementation of the Parquet file format

Mocked Streams
Scala Library for Unit-Testing Processing Topologies in Apache Kafka / Kafka Streams

A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.

Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications

Go scientific library for scientific computations involving linear algebra, special functions, Bessel, fast Fourier transforms, geometry calculations, NURBS, numerical quadrature, polyhedra, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, and much more.

Apache CarbonData
Apache CarbonData is an indexed columnar data format for fast analytics on big data platform, e.g.Apache Hadoop, Apache Spark, etc.


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