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Machine Learning Pipelines for Kubeflow.
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Build, packaging, and run system for ephemeral multi-container environments.
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LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
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A lightweight framework for building LLM-based agents.
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Simple, concise implementations of machine learning techniques and utilities in Clojure.
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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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AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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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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Lightly is a computer vision framework for self-supervised learning.
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Explaining the predictions of any machine learning classifier.
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A comprehensive toolkit to build Machine Learning applications with Rust.
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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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LLM App is a Python library that helps you build real-time AI-powered data pipelines with few lines of code.
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Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
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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.