Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
An offline recommender system backend based on collaborative filtering written in Go.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
A fast Evolution Strategy implementation in Python.
Easy-to-use Federated Learning Platform.
Decision Tree Classifier and Regressor.
Dataframes for machine-learning and statistics (similar to pandas).
Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
FANN (Fast Artificial Neural Network) binding.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Basic functions for clustering data: k-means, dp-means, etc.
Fast, flexible and fun neural networks. This is the successor of PyBrain.
Neural networks in JavaScript - continued community fork of Brain.