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A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
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Using Low-rank adaptation to quickly fine-tune diffusion models.
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Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
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A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
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TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
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Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
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Open-source project that catalogs AI services and resources for browsing by feature or use case.
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Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
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A chat LLM based on the state-space model architecture.
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A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.
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Small Language Model tailored for edge devices.
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The memory layer for Personalized AI.
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Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
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Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
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JARVIS, a system to connect LLMs with ML community.
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General technology for enabling AI capabilities w/ LLMs and MLLMs.
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Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"s.
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Integrate LLM technology quickly and easily into your apps.
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LLM-powered multiagent persona simulation for imagination enhancement and business insights.
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Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
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C, C++, and Python tools for named entity recognition and relation extraction.
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A Julia package for fitting (statistical) mixed-effects models.
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No need to keep checking your training, just one import line and you'll know the second it's done.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.