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github.com
Lifelines is a complete survival analysis library, written in pure Python.
github.com
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
github.com
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
github.com
Machine Learning library for the web, Node.js and developers.
github.com
A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
github.com
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
kyamagu.github.io
Mexopencv: Collection and a development kit of matlab mex functions for OpenCV library.
mlpack.org
A scalable C++ machine learning library.
github.com
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
mxnet.apache.org
A flexible and efficient library for deep learning.
neanderthal.uncomplicate.org
Clojure Fast Matrix Library - GPU and native CPU.
github.com
Easy-to-use library to boost AI inference.
github.com
An NLP library built in node over Natural, with entity extraction, sentiment analysis, automatic language identify, and so more.
github.com
This package provides graphical computation for nn library in Torch7.
github.com
A completely unstable and experimental package that extends Torch's builtin nn library.
nsfwjs.com
A simple JavaScript library to help you quickly identify unseemly images; all in the client.
github.com
A general statistics and machine learning library.
github.com
An open-source cross-platform performance library for deep learning applications.
github.com
A library that enables training PyTorch models with differential privacy.
github.com
A real-time multi-person keypoint detection library for body, face, hands, and foot estimation.
github.com
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
github.com
Python library for working with Probabilistic Graphical Models.
github.com
A library for machine learning that builds predictions using a linear regression.