Search results

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.

Math and Science Lectures is a GitHub repository or organization with source code, releases, documentation, or project resources.

Mathematics Roadmap is a GitHub repository or organization with source code, releases, documentation, or project resources.

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.

Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.

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.

Support Vector Machine for Node.js.

Reference implementations of ML models written in numpy.

Numenta Platform for Intelligent Computing.