Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
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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.
Python module to perform under sampling and oversampling with various techniques.
Access all JetBrains IDEs, plugins, and courses for your studies and future tech career.
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.
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.
JavaScript implementation of the k nearest neighbors algorithm for supervised learning.
Langfuse supports software development with code generation, analysis, debugging, or documentation.
Langfuse is a GitHub repository or organization with source code, releases, documentation, or project resources.
Learn any topic in 3 minutes a day. 1v1 quiz duels, ELO rankings, spaced repetition. Free on iOS and Android.
Supports teaching, studying or skills practice with AI-guided learning tools.
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.
Supports teaching, studying or skills practice with AI-guided learning tools.
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.