Easy-to-use Federated Learning Platform.
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A fast Evolution Strategy implementation in Python.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.
News, community, and courses for people building AI-powered products.
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.
ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
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.
Python module to perform under sampling and oversampling with various techniques.
IPython notebooks from Data School's video tutorials on scikit-learn.
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.