Weekly BigData & ML Roundup – Feb. 16, 2017

Apache Ranger, a Big Data security management framework for Hadoop, is promoted as a Top-Level Apache Project.

Examples

awesome-deep-learning-papers
Awesome – Most Cited Deep Learning Papers

practical-pytorch
Practical PyTorch tutorials, focused on using neural networks for natural language tasks

ml-playground
Place to toy around with different ML models

Numerical-Analysis-Examples
Numerical Analysis Implementations in Various Languages

Toolsets

AirSim
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research

ChosunTruck
Euro Truck Simulator 2 autonomous driving solution

ipdb
Integration of IPython pdb

Bella
A pure python, post-exploitation, data mining tool and remote administration tool for macOS

Libraries

TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

glow
Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce

gleam
Fast, efficient, and scalable distributed map/reduce system, DAG execution, in memory or on disk, written in pure Go, runs standalone or distributedly

dlib
A toolkit for making real world machine learning and data analysis applications in C++

flint
A Time Series Library for Apache Spark

kmcuda
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Frameworks

ranger
Ranger is a framework to enable, monitor and manage comprehensive data security across the Hadoop platform

thrill
An EXPERIMENTAL Algorithmic Distributed Big Data Batch Processing Framework in C++


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