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awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.
https://github.com/eric-erki/awesome-machine-learning

Last synced: 24 days ago
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C

  • Darknet - Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
  • Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).
  • neonrvm - neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.

Go

Speech Recognition

Lua

Speech Recognition

  • imgraph - An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images.
  • OverFeat - A state-of-the-art generic dense feature extractor.

Python

General-Purpose Machine Learning

  • nut - Natural language Understanding Toolkit.
  • Bolt - Bolt Online Learning Toolbox.
  • somoclu - organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
  • Retro - Retro Games in Gym

Ruby

General-Purpose Machine Learning

  • Stemmer - Expose libstemmer_c to Ruby.