Distributed linear algebra framework and mathematically expressive Scala DSL.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
Maige provides machine-learning models, research, training resources, or evaluation tools.
Makedraft provides machine-learning models, research, training resources, or evaluation tools.
Machine learning for language toolkit.
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
A chat LLM based on the state-space model architecture.
Open source applied AI lab building next-gen devtools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A model-agnostic visual debugging tool for machine learning.
A Julia package for manifold learning and nonlinear dimensionality reduction.
Creates, rewrites or summarizes written content with language models.
A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
Creates, rewrites or summarizes written content with language models.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
Small Language Model tailored for edge devices.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
A blog about open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
The memory layer for Personalized AI.
News and Hackathons for AI Engineers!
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A platform for deploying and serving machine learning models.
Flexible Deep Learning Framework in Julia.