Lightly is a computer vision framework for self-supervised learning.
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Pretrain computer vision models on unlabeled data for industrial applications.
Explaining the predictions of any machine learning classifier.
Limits provides machine-learning models, research, training resources, or evaluation tools.
Lindy provides machine-learning models, research, training resources, or evaluation tools.
Linear Digressions provides machine-learning models, research, training resources, or evaluation tools.
A comprehensive toolkit to build Machine Learning applications with Rust.
A tool kit for processing text using computational linguistics.
List provides conversational AI for questions, tasks, and general assistance.
LiteLLM provides machine-learning models, research, training resources, or evaluation tools.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
Live Demo provides conversational AI for questions, tasks, and general assistance.
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.
llama.cpp provides conversational AI for questions, tasks, and general assistance.
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.
LLM provides machine-learning models, research, training resources, or evaluation tools.
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.