IMS is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Interview University is a GitHub repository or organization with source code, releases, documentation, or project resources.
Introduction to Data Science provides AI-assisted learning, courses, tutorials, or study support.
IPython notebooks from Data School's video tutorials on scikit-learn.
Japanese Pitch Accent Resources is a GitHub repository or organization with source code, releases, documentation, or project resources.
JapaneseTab is a GitHub repository or organization with source code, releases, documentation, or project resources.
JavaScript Algorithms is a GitHub repository or organization with source code, releases, documentation, or project resources.
JavaScript Questions is a GitHub repository or organization with source code, releases, documentation, or project resources.
Telegram link is a Telegram channel, group, or bot link for updates, files, community posts, or support.
Access all JetBrains IDEs, plugins, and courses for your studies and future tech career.
jidoujisho is a GitHub repository or organization with source code, releases, documentation, or project resources.
Digital library for searching books, documents, images and online collections.
John Hammond is a YouTube video, playlist, or channel resource for tutorials, demos, reviews, or media.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
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.
KaTrain is a GitHub repository or organization with source code, releases, documentation, or project resources.
Kaya is a GitHub repository or organization with source code, releases, documentation, or project resources.
Keeptrack.space is a GitHub repository or organization with source code, releases, documentation, or project resources.
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.
Simple API for Neural Network. Better for image processing with CPU/GPU + Transfer Learning.