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A curated list of awesome Machine Learning frameworks, libraries and software.
Turn (almost) any Python command line program into a full GUI application with one line
Faker is a Python package that generates fake data for you.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Code samples for my book "Neural Networks and Deep Learning"
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
Imaging, analysis, and simulation software for radio interferometry
Google Cloud Client Library for Python
Dependency injection framework for Python
Lightweight library to build and train neural networks in Theano
Deep Convolutional Generative Adversarial Networks
Container data volume manager for your Dockerized application
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
This is **DEPRECATED**! Please go to https://github.com/docker/distribution
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
The code linting framework for Sublime Text
Generic U-Net Tensorflow implementation for image segmentation
the first third-party instant messaging client for Google Hangouts
A simple program which checks Python source files for errors
Foundations of Python Network Programming (Apress) — scripts and examples
Retina blood vessel segmentation with a convolutional neural network