A machine learning / bayesian inference assigning attributes to objects.
Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
A machine learning library by Airbnb designed from the ground up to be human friendly.
Regularization for semiparametric additive hazards regression. [Deprecated]
Several machine learning and artificial intelligence models are included in the namespace. For instance, you can find Naïve Bayes.
Several machine learning and artificial intelligence models are included in the AI namespace. For instance, you can find Nave Bayes
A toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
, implementation of Support Vector Machines with SVMLight under it. [Deprecated]
A Java Toolbox for Scalable Probabilistic Machine Learning.
Julia artificial neural networks. [Deprecated]
Approximate nearest neighbours implementation.
An Apache Incubating project for developing an open source machine learning library.
Mining Association Rules and Frequent Itemsets
Machine Learning and Data Mining for Astronomy.
Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file!
> Automatically Build Variant Interpretable ML models fast! is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in Medium article.
automatically differentiates native Torch code. Inspired by the original Python version.
A curated list of pretrained CoreML models.
Curated list of ML related resources for Ruby.
A list of all things related to TensorFlow.
A simple Multi-armed Bandit library. [Deprecated]
Naive Classification for Golang. [Deprecated]
Bayesian bandit implementation for Node and the browser. [Deprecated]
Book/iPython notebooks on Probabilistic Programming in Python.
A simple, but essential Bayesian optimization package, written in Python.
Easily craft fast Neural Networks. Use TensorFlow models. Metal under the hood.
Toolkit for package and deploy machine learning models for serving in production
CPU and GPU-accelerated Machine Learning Library.
Extending Lasso Model Fitting to Big Data in R.
A library that contacts external servers.
Bioinformatics for the Scala programming language
A recommendation library in Go.
Bundle Methods for Regularized Risk Minimization Package.
A C++ template library optimized for GPUs. [Apache2]
Online Learning Toolbox. [Deprecated]
A wrapper algorithm for all-relevant feature selection.
It implemented 3 layers neural network ( Input Layer, Hidden Layer and Output Layer ) and it named Back Propagation Neural Network (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. [Deprecated]
The iOS and OS X neural network framework.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
Theano based library for deep and recurrent neural networks.
Distributed decision tree ensemble learning in Scala.
C5.0 Decision Trees and Rule-Based Models.
A fast framework for neural networks. [BSD]
A general classifier module to allow Bayesian and other types of classifications.
Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
Framework for fitting multiple caret models as well as creating ensembles of such models. [Deprecated]
High-level utils for PyTorch DL & RL research. It was developed with a focus on reproducibility, fast experimentation and code/ideas reusing. Being able to research/develop something new, rather than write another regular train loop.
General purpose gradient boosting on decision trees library with categorical features support out of the box. It is easy to install, contains fast inference implementation and supports CPU and GPU (even multi-GPU) computation.
mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy. [Deprecated]
Flexible neural network framework.
Wrapper for the libsvm support vector machine library. [Deprecated]
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Implementation of Random Forest in Common Lisp.
A machine learning library for Clojure built on top of Weka and friends. [Deprecated]
The Push programming language and the PushGP genetic programming system implemented in Clojure.
General Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]
Ensembles of decision trees in Go/Golang. [Deprecated]
Basic functions for data: k-means, dp-means, etc.
Microsoft Cognitive Toolkit (), an open source deep-learning toolkit. [Boost]
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm. [Deprecated]
Scalable Machine Learning in Scalding.
An ONNX runtime written in pure C (99) with zero dependancies focused on small embedded devices. Run inference on your machine learning models no matter which framework you train it with. Easy to install and compiles everywhere, even in very old devices.
Classification, regression, feature evaluation and ordinal evaluation.