Calling all data science and machine learning enthusiasts out there!
We have lots of cutting-edge projects for you being discussed in the Gitter channels, ranging from mapping brain activity at scale, computer vision, neural networks, data visualisation to natural language processing. Check out the list below and don’t hesitate to join the conversation.
Pandas— Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
OpenWorm — Unified, simple data access library for data & facts about C. elegans anatomy.
Deeplearning4j — Open-source, distributed deep-learning project in Java and Scala.
Numenta/public — Numenta Platform for Intelligent Computing.
Thunder — Large-scale neural data analysis with Spark.
scikit-learn — Machine learning in Python.
Redash — Rethinking how data is queried, shared and visualized. A web application that allows to easily query an existing database, share the dataset and visualize it in different ways.
H2O — H2O scales statistics, machine learning, and math over Big Data.
dp — Deep learning library designed for streamlining research and development using the Torch7.
Awesome deep vision — A curated list of deep learning resources for computer vision.
Caffe — A fast framework for deep learning.
Distributed Machine Learning in C++ — A common code-base for Distributed Machine Learning in C++.
arrayfire-ml — ArrayFire’s Machine Learning Library.
datascience — A Python library for introductory data science.
dev-ua/ai-ml-ds — Dev Ukraine’s Artificial Intelligence and Machine Learning channel.
pylearn2 — A Machine Learning library based on Theano.
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