Flexible Deep Learning Framework in Julia.
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A platform for deploying and serving machine learning models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
News and Hackathons for AI Engineers!
The memory layer for Personalized AI.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
A blog about open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
Small Language Model tailored for edge devices.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
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.
A Julia package for manifold learning and nonlinear dimensionality reduction.
A model-agnostic visual debugging tool for machine learning.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open source applied AI lab building next-gen devtools.
A chat LLM based on the state-space model architecture.
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
Machine learning for language toolkit.
Makedraft provides machine-learning models, research, training resources, or evaluation tools.
Maige provides machine-learning models, research, training resources, or evaluation tools.
Distributed linear algebra framework and mathematically expressive Scala DSL.