Deep learning framework written in Kotlin.
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Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
Build, packaging, and run system for ephemeral multi-container environments.
A lightweight framework for building LLM-based agents.
FastAPI framework to build production-grade LLM applications.
Serverless LLM apps on Production with Jina AI Cloud (Archived).
Julia package for working with various human languages.
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.
Lifelines is a complete survival analysis library, written in pure Python.
Lightly is a computer vision framework for self-supervised learning.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
Provides a central interface to connect your LLM's with external data.
LlamaIndex is a data framework for your LLM applications.
Build agents which are controlled by LLMs.
LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
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.
Godot 4.x asset that enables NPCs to interact with players using local LLMs for structured, offline-first learning conversations in games.
A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
Using Low-rank adaptation to quickly fine-tune diffusion models.