Open source applied AI lab building next-gen devtools.
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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.
Magick provides machine-learning models, research, training resources, or evaluation tools.
Combine LLMs and code to create simple automations.
Machine Learning library for the web, Node.js and developers.
Class on machine w/ PDF, lectures, code.
About helping professional programmers confidently apply machine learning algorithms to address complex problems.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Machine Learning – Software Engineering Daily provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Lutra AI provides machine-learning models, research, training resources, or evaluation tools.
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Using Low-rank adaptation to quickly fine-tune diffusion models.