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

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.

Open-source project that provides AI-assisted learning, courses, tutorials, or study support.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

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

Godot 4.x asset that enables NPCs to interact with players using local LLMs for structured, offline-first learning conversations in games.

Open-source project that provides AI-assisted learning, courses, tutorials, or study support.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

A Python module for metric learning.

Metric Learning Algorithms in Python.

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.

MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.

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

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

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.

This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.

Reinforcement learning using Markov Decision Processes.

Python Machine Learning Pentesting Toolbox for Adversarial Attacks. Works with LLMs, DNNs, and other machine learning algorithms.