The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models.
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A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
A Challenging, Contamination-Free LLM Benchmark.
A graph sampling extension library for NetworkX with a Scikit-Learn like API.
A comprehensive toolkit to build Machine Learning applications with Rust.
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.
Licensing is neither feasible nor effective for addressing AI risks provides machine-learning models, research, training resources, or evaluation…
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.
Energy-based machine learning models built upon PyTorch.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Discover the large language models examples with insights on business adoption, language model training, and influential models.
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.
Serverless LLM apps on Production with Jina AI Cloud (Archived).
FastAPI framework to build production-grade LLM applications.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
A lightweight framework for building LLM-based agents.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Build, packaging, and run system for ephemeral multi-container environments.