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Build, packaging, and run system for ephemeral multi-container environments.
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A lightweight framework for building LLM-based agents.
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FastAPI framework to build production-grade LLM applications.
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Serverless LLM apps on Production with Jina AI Cloud (Archived).
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Julia package for working with various human languages.
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Lightweight library to build and train neural networks in Theano.
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Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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PyTorch Meta-learning Framework for Researchers.
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Energy-based machine learning models built upon PyTorch.
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Lifelines is a complete survival analysis library, written in pure Python.
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A graph sampling extension library for NetworkX with a Scikit-Learn like API.
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A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
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The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
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Provides a central interface to connect your LLM's with external data.
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LlamaIndex is a data framework for your LLM applications.
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Build agents which are controlled by LLMs.
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Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
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A deep research tool for searching academic sources, the web, and private documents with local or cloud LLMs. opensource.
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Inspired on Private GPT with the GPT4ALL model replaced with the Vicuna-7B model and using the InstructorEmbeddings instead of LlamaEmbeddings.
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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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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.