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DSSTNE - A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.

DLib - A suite of ML tools designed to be easy to imbed in other applications.

Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding. Enables training models on large data sets across multiple machines.

Distributed Machine learning Tool Kit (DMTK) - A distributed machine learning (parameter server) framework by Microsoft.

It makes state of the art machine learning easy to work with and integrate into existing applications.

DeepDetect - A machine learning API and server written in C++11.

CUDA - This is a fast C++/CUDA implementation of convolutional.

CNTK - The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.

It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.

CatBoost - General purpose gradient boosting on decision trees library with categorical features support out of the box.

Caffe - A deep learning framework developed with cleanliness, readability, and speed in mind.

BanditLib - A simple Multi-armed Bandit library.

Nebullvm - Easy-to-use library to boost AI inference.

Nebulgym - Easy-to-use library to accelerate AI training.

Openpose - A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.

VIGRA - VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.

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OpenCV - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.EBLearn - Eblearn is an object-oriented C++ library that implements various machine learning models.

DLib - DLib has C++ and Python interfaces for face detection and training general object detectors.

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VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has a Matlab toolbox.CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.

libonnx - A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

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Easy to install and compiles everywhere, even in very old devices. Run inference on your machine learning models no matter which framework you train it with.

cONNXr - An ONNX runtime written in pure C (99) with zero dependencies focused on small embedded devices.

It's written in C programming language and comes with Python programming language bindings.

neonrvm - neonrvm is an open source machine learning library based on RVM technique.

Hybrid Recommender System - A hybrid recommender system based upon scikit-learn algorithms.

Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).

It is fast, easy to install, and supports CPU and GPU computation.

Darknet - Darknet is an open source neural network framework written in C and CUDA.

naive-apl - Naive Bayesian Classifier implementation in APL.

Misc Scripts / iPython Notebooks / Codebases.

Table of Contents Frameworks and Libraries

Not committed for a long time (2~3 years).įor a list of free machine learning books available for download, go here.įor a list of professional machine learning events, go here.įor a list of (mostly) free machine learning courses available online, go here.įor a list of blogs and newsletters on data science and machine learning, go here.įor a list of free-to-attend meetups and local events, go here.

Repository's owner explicitly says that 'this library is not maintained'.

If you want to contribute to this list (please do), send me a pull request or contact me a listed repository should be deprecated if: A curated list of awesome machine learning frameworks, libraries and software (by language).