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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.

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 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.

Multidimensional cluster generation in MATLAB/Octave.

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.

Methods for dimensionality reduction.

A library of shared system prompts for creating customized educational GPT agents.

IPython notebooks for a complete course around understanding Nervana's Neon.

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.

Reference implementations of ML models written in numpy.

Numenta Platform for Intelligent Computing.

A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.

Examples and guides for using the OpenAI API.

A Python-inspired implementation of the Optimum-Path Forest classifier.