- Gitter

it's natural to doubt yourself when learning to code - share your feelings and get moral support here

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scikit-learn: machine learning in Python. Please feel free to ask specific questions about scikit-learn. Please try to keep the discussion focused on scikit-learn usage and immediately related open source projects from the Python ecosystem.

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Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.

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Fast Scalable Machine Learning API For Smarter Applications

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The Open Source Learning Record Store - https://learninglocker.net

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:: MEETUP https://www.meetup.com/WizardAmigos :: LEARNING http://wizardamigos.com

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A library for probabilistic modeling, inference, and criticism. http://edwardlib.org

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A curated list of deep learning resources for computer vision

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A deep learning library for streamlining research and development using the Torch7 distribution.

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A common code-base for Distributed Machine Learning in C++

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Community learning experiment

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The Shogun Machine Learning Toolbox (Source Code) | messages are being mirrored to our official freenode IRC channel #shogun

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Game written in JavaScript for learning JavaScript and artificial intelligence.

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LxOpenDataMeetup - Discussion and exchanging ideas on Machine Learning, Open Data and Data Science

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A Machine Learning library based on Theano

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Support and discussion about INGInious : a code assessment platform

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Front-end Development Learning Note (Simplified Chinese)

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What I Wish I Knew When Learning Haskell

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AngularJS Learning Playground ( with Twitter bootstrap, Google maps API, TDD using Karma runner )

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Visualize streaming machine learning in Spark

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Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

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Base framework library for machine learning packages.

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CPU and GPU-accelerated Machine Learning Library

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Learning to code is hard. Learning to code with tests is harder. Let's practice this art together.

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Neuraxle is a Machine Learning (ML) library for building neat pipelines, providing the right abstractions to both ease research, development, and deployment of your ML applications.