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A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.

Kernel density estimators for Julia.

Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.

JavaScript implementation of the k nearest neighbors algorithm for supervised learning.

Learn any topic in 3 minutes a day. 1v1 quiz duels, ELO rankings, spaced repetition. Free on iOS and Android.

Supports teaching, studying or skills practice with AI-guided learning tools.

AI-powered academic assistant for students with note-taking, essay writing, and presentation generation.

A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.

A generic approach that allows to mimic most factorization models by feature engineering.

Supports teaching, studying or skills practice with AI-guided learning tools.

A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.

Convert images and PDFs to LaTeX, DOCX, Overleaf, Markdown, Excel, ChemDraw and more, with our AI-powered document conversion technology.

An open course on designing, developing, deploying, and iterating on production ML systems.

Supports teaching, studying or skills practice with AI-guided learning tools.

Supports teaching, studying or skills practice with AI-guided learning tools.

Discord invite for joining a related community, support server, updates, or project discussion.

An open source implementation of methods for multi-label classification and evaluation (extension to Weka).

A Python module for metric learning.

Metric Learning Algorithms in Python.

Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.

A minimal, educational, Pythonic implementation of autograd (~100 loc).

A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.

A high performance, memory efficient, maximally parallelized ensemble learning, integrated with scikit-learn.

Slides, scripts and materials for the Machine Learning in Finance course at NYU Tandon, 2022.