Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A generic approach that allows to mimic most factorization models by feature engineering.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Lifelines is a complete survival analysis library, written in pure Python.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Build agents which are controlled by LLMs.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
LLM Course is a GitHub repository or organization with source code, releases, documentation, or project resources.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.