Federated Learning - The Production AI Platform for Federated Learning at Scale.
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Large scale Gaussian Mixture Models.
A no-coding course by NVIDIA that presents Generative AI concepts and applications, as well as the challenges and opportunities in the field.
If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
Course content and resources for the AIAIART course.
Free access to the Pro tier of the industry-standard AI pair programmer while you are a student.
Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Deep Neural Networks for Golang (powered by MXNet).
An offline recommender system backend based on collaborative filtering written in Go.
A hands-on course to train and deploy a serverless API that predicts crypto prices.
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.
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.
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.