A fast Evolution Strategy implementation in Python.
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Visualizations for understanding and analyzing machine learning datasets.
A Python package to assess and improve fairness of machine learning models.
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
Industrial Grade Federated Learning Framework.
Feature store for machine learning.
Set of tools for creating and testing machine learning features, with a scikit-learn compatible API.
A highly-modular C++ machine learning library for embedded electronics and robotics.
Ignite your models into blazing-fast machine learning APIs with a modern framework.
This basically to gauge the understanding of Machine Learning Workflow and Regression technique in specific.
Friendly Federated Learning Framework.
Library for high performance deep learning inference on NVIDIA GPUs.
An open source Python library for drift detection in machine learning systems.
Unsupervised machine learning with multivariate Gaussian mixture model.
Large scale Gaussian Mixture Models.
If this is your first time building with Generative AI models, check out our course, which includes 21 lessons on building with GenAI.
A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
Course content and resources for the AIAIART course.
Generalized linear models in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Deep Neural Networks for Golang (powered by MXNet).
Fast and convenient feature processing for low latency machine learning in Go.
Benchmarks of machine learning inference for Go.
An open source Go transpiler for machine learning models.