Swarm Intelligence in Python (Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Algorithm, Immune Algorithm, Artificial Fish Swarm Algorithm in Python)
A collection of algorithms for image processing in Python.
Pretrain computer vision models on unlabeled data for industrial applications
A machine learning / bayesian inference assigning attributes to objects.
A library for machine learning that builds predictions using a linear regression.
Chinese Words Segmentation Utilities.
Naïve Bayes
A OpenSource Computer Vision Library
OCaml bindings for TensorFlow.
A general statistics and machine learning library.
It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression. [Deprecated]
It implemented K-Means clustering and classification algorithm. It could be used in data mining and image compression. [Deprecated]
It is a non-supervisory and self-learning algorithm (adjust the weights) in the neural network of Machine Learning. [Deprecated]
It implemented multi-perceptrons neural network (ニューラルネットワーク) based on Back Propagation Neural Networks (BPN) and designed unlimited-hidden-layers.
It implemented 3 layers of neural networks ( Input Layer, Hidden Layer and Output Layer ) and it was named Back Propagation Neural Networks (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis. [Deprecated]
An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift.
Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural networks. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available. [Deprecated]
A Machine Learning framework for Objective-C and Swift (OS X / iOS).
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.
Neural network library in F#.
Multi-platform genetic algorithm library for .NET Core and .NET Framework. The library has several implementations of GA operators, like: selection, crossover, mutation, reinsertion and termination.
A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.
Multidimensional cluster generation in MATLAB/Octave.
Examples of popular machine learning algorithms (neural networks, linear/logistic regressions, K-Means, etc.) with code examples and mathematics behind them being explained.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
A complete object-oriented environment for machine learning in Matlab.
Class on machine w/ PDF, lectures, code
Scripts to generate a dataset with static frames from the Arcade Learning Environment.
torch-datasets - Scripts to load several popular datasets including
.
A python package that integrates an LLM copilot inside the keras model development workflow.
[Deprecated]
a simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.
A state-of-the-art generic dense feature extractor. [Deprecated]
A package for feature extraction in Torch. Provides SIFT and dSIFT modules. [Deprecated]
A bundle adjustment/structure from motion package. [Deprecated]
allows us to use hugin to stitch images and apply same stitching to a video sequence. [Deprecated]
code and tools around integral images. A library for finding interest points based on fast integral histograms. [Deprecated]
A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos. [Deprecated]
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. [Deprecated]
Torch CUDA Neural Network Implementation.
Torch CUDA Implementation.
KNN, kernel-weighted average, local linear regression smoothers. [Deprecated]
A Lua wrapper around the Locality sensitive hashing library SHKit [Deprecated]
Spaghetti (sparse linear) module for torch7 by @MichaelMathieu [Deprecated]
OpenGM is a C++ library for graphical modelling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM. [Deprecated]
An old vowpalwabbit interface to torch. [Deprecated]