Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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A library of statistical distribution sampling and transducing functions.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Build, packaging, and run system for ephemeral multi-container environments.
Lightweight library to build and train neural networks in Theano.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. opensource.
Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Chinese LLM, Based on LLaMA and fine tune by Stanford Alpaca, Alpaca LoRA, Japanese-Alpaca-LoRA.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
Official repository to use and implement LLaMA 3.1 models, Meta's state-of-the-art large language models.
General technology for enabling AI capabilities w/ LLMs and MLLMs.
Integrate LLM technology quickly and easily into your apps.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
No need to keep checking your training, just one import line and you'll know the second it's done.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Semantic search and workflows powered by language models.