A lightweight framework for building LLM-based agents.
Directory
Search results
Published directory entries matching your search.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
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.
A generic approach that allows to mimic most factorization models by feature engineering.
Lifelines is a complete survival analysis library, written in pure Python.
Lightly is a computer vision framework for self-supervised learning.
Pretrain computer vision models on unlabeled data for industrial applications.
Explaining the predictions of any machine learning classifier.
A comprehensive toolkit to build Machine Learning applications with Rust.
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.
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.
LLM Course is a GitHub repository or organization with source code, releases, documentation, or project resources.
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.
Creates or edits images with generative models and visual controls.
A tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification.
Tensorflow and OpenAI Clarity's Lucid adapted for PyTorch.