intechopen.com
Advances in Evolutionary Algorithms. Edited by: Witold Kosinski. ISBN 978-953-7619-11-4, PDF ISBN 978-953-51-5796-0, Published 2008-11-01.
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Deconstructing the AI Myth: Fallacies and Harms of Algorithmification provides machine-learning models, research, training resources, or evaluation…
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
ocw.mit.edu
Linear Algebra provides AI-assisted learning, courses, tutorials, or study support.
gitlab.com
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
github.com
Analyzes structured data and helps produce queries, insights or visualizations.
nyupress.org
Helps find, analyze or synthesize information for research and knowledge discovery.
github.com
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
github.com
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
datascienceathome.com
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms.
detectfakes.kellogg.northwestern.edu
Can you spot the DeepFake? Detect Fakes challenges you to discern AI-manipulated videos from real videos. Can you do better than an algorithm?
mathworks.com
Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.
pkg.go.dev
Package mat provides implementations of float64 and complex128 matrix structures and linear algebra operations on them.
github.com
Graph layout algorithms in pure Julia.
github.com
Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model.
github.com
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
github.com
Implementation of the hdbscan algorithm in Python - used for clustering.
github.com
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
github.com
General Machine Learning library using Numenta’s Cortical Learning Algorithm.
Helps teams build, deploy, observe or operate machine-learning systems.
github.com
JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
github.com
Just a simple implementation of K-Nearest Neighbors algorithm using with a bunch of similarity measures.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
home.work.caltech.edu
Introduction to machine learning covering basic theory, algorithms and applications.