Deep Neural Networks for Golang (powered by MXNet).
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An offline recommender system backend based on collaborative filtering written in Go.
Is a personal, portable Hadoop environment that comes with a dozen interactive Hadoop tutorials.
Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
Python materials for the online course on diffusion models by @huggingface.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Access all JetBrains IDEs, plugins, and courses for your studies and future tech career.
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
Clojure wrapper for deeplearning4j with some added syntactic sugar.
A beginner-friendly guide on using Keras to implement a simple Neural Network in Python.
Run Keras models in the browser, with GPU support provided by WebGL 2.
Kernel density estimators for Julia.
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.
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.