High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
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.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Eblearn is an object-oriented C++ library that implements various machine learning models [Deprecated]
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.
OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
General purpose gradient boosting on decision trees library with categorical features support out of the box for R.
A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.
A software library created by Amazon for training and deploying deep neural networks using GPUs which emphasizes speed and scale over experimental flexibility.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. Documentation can be found here.
A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.