Machine Learning

FedML supports distributed model training, model serving, and federated learning, with a scheduler for AI jobs across cloud and local clusters.

Scinito lets users chat with, search, analyze, and manage scholarly data using AI tools.

Burn provides a flexible, efficient, and portable tensor library for building deep learning applications.

Apache SINGA supports distributed deep learning through a system and library for model training.

The ListLang app supports language learning and helps users work toward greater fluency.

OpenBB is an open data platform for analysts, quantitative researchers, and AI agents.

Screenpipe records screen activity locally and provides that context to AI agents.

Tribuo provides machine learning tools in Java, according to its project title.

The i am trask site is a machine learning craftsmanship blog with articles about the field.

Apache Storm is an open-source distributed system for processing unbounded streams of data in real time.

An in-depth guide on how to use the AdaMPI AI model for creating 3D photos from 2D images.

An experimental physical interface for the NSynth machine learning algorithm.

A research project exploring the role of machine learning in the process of creating art and music.

Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.

Bender helps developers build neural networks for iOS using TensorFlow models and Metal.

ihancer enhances photo quality, upscales images, and restores old or blurry photos with AI.

This essay considers modern language and diffusion models in the context of earlier AI research and hype cycles.

Flexible, high-performance serving system for machine learning models.

Pathway offers cloud templates for RAG, AI pipelines, and enterprise search that stay synchronized with connected data sources.

Artificial Intelligence: Foundations of Computational Agents is a textbook with online educational resources.

AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias.

LIME provides explanations for predictions made by machine learning classifiers.

GuitarML provides software plugins, tone models, and pedals for guitar tone modeling using recorded input and output samples.

The Immich GitHub project describes a self-hosted system for managing photos and videos.