AI Topic: Local Inference

Free desktop tool for training machine learning models without code using your own data.

An open-source deep learning platform developed by Baidu for industrial-grade AI development and deployment.

An open-source AI-powered search engine that uses advanced machine learning to understand queries and provide accurate, source-cited answers.

Serverless GPU inference platform for deploying and running AI models with pay-per-use pricing.

Free, local, open-source AI app builder that lets you download and run full-stack AI apps on macOS and Windows without sign-up.

A pure JavaScript port of Google's JAX ML framework that compiles and runs neural networks directly in the browser via auto-generated WebGPU kernels—with autodiff, JIT, and vectorization built in.

Open-source AI desktop and web app that runs local and cloud models, provides assistants, connectors, and a local OpenAI-compatible API for self-hosted workflows.

Keras is an open-source, high-level deep learning API that enables building, training, and deploying neural networks across JAX, TensorFlow, and PyTorch backends.

An open-source, high-performance library for serving and running large language models with GPU-optimized inference and efficient memory and batch management.

Self-hosted open-source AI API server that exposes unified REST endpoints and supports multiple LLM providers for integration into applications.