Weekly BigData & ML Roundup – Oct. 13, 2016

This week’s roundup include three deep learning frameworks. Check if they could give you an unexpected insight. Also, Apache Streams becomes an Apache incubating project. Check out its project page for detailed information.


Apache Streams
Unifying a diverse world of digital profiles and online activities into common formats and vocabularies, and makes these datasets accessible.

Prepare data for RDBMS ingestion with Hadoop MapReduce.

Custom Jupyter Notebook Themes.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations of the top machine learning algorithms for binary classification.


Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more.

Deep Learning algorithms with TensorFlow
Ready to use implementations of various Deep Learning algorithms using TensorFlow.


Open nsfw model
Code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models.


A Minimalist GPU-only N-Dimensional ConvNets Framework.

A open Machine Learning Framework for hackers to build classical, deep or hybrid machine learning applications.

A flexible framework of neural networks for deep learning.

*https://pocketcluster.wordpress.com will move to https://blog.pocketcluster.io on Jan 1, 2017. If you have subscribed this blog, please make sure to change the feed address.

Looking into adding your repo? tweet to @stkim1!

E-mail Subscribtion
Subscribe for upcoming posts!
Join Slack
Join the channel!

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s