Documentation for LearnPrompting, covering setup, features, and practical usage.
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A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
Pushing the frontier of neural imaging.
A generic approach that allows to mimic most factorization models by feature engineering.
Supports teaching, studying or skills practice with AI-guided learning tools.
An integrated and easy-to-use tool for support vector classification and regression.
LifeArchitect supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Lifelines is a complete survival analysis library, written in pure Python.
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Lightly is a computer vision framework for self-supervised learning.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Explaining the predictions of any machine learning classifier.
Linear Algebra provides AI-assisted learning, courses, tutorials, or study support.
A comprehensive toolkit to build Machine Learning applications with Rust.
A tool kit for processing text using computational linguistics.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
A Challenging, Contamination-Free LLM Benchmark.
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.
A hub of integrations for LlamaIndex including data loaders, tools, vector databases, LLMs and more.
Psst, kid, want some cheap and small LLMs?
Provides a central interface to connect your LLM's with external data.
LlamaIndex is a data framework for your LLM applications.
A data framework for building LLM applications over external data.