A generic approach that allows to mimic most factorization models by feature engineering.
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An integrated and easy-to-use tool for support vector classification and regression.
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.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
A minimal, educational, Pythonic implementation of autograd (~100 loc).
A Repository Containing Classification, Clustering, Regression, Recommender Notebooks with illustration to make them.
Lightweight ML utility for automated training, evaluation, and prediction with CLI and Python API support.
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.
A free video series by Andrej Karpathy covering neural networks from scratch — backpropagation, makemore, GPT, and more.
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.
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
Multidimensional cluster generation in Python.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.