Lightweight library to build and train neural networks in Theano.
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Energy-based machine learning models built upon PyTorch.
Introduction to machine learning covering basic theory, algorithms and applications.
Pushing the frontier of neural imaging.
LifeArchitect supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Lifelines is a complete survival analysis library, written in pure Python.
Lightly is a computer vision framework for self-supervised learning.
Explaining the predictions of any machine learning classifier.
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.
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.
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.
No-code batch compute platform for LLM evaluation and tuning workloads.
Llm Stats is an AI chat or model resource for writing, coding, research, prompts, and assistant workflows.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
Build, train, and ship custom machine learning models using an easy visual interface.