Feast is an end-to-end open source feature store for machine learning. It allows teams to define, manage, discover, and serve features.
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Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
The @testdriverai in any GitHub repo and TestDriver writes UI tests and catches regressions before they merge. AI-powered end-to-end testing.
A simple and efficient end-to-end Automatic Speech Recognition (ASR) system from Facebook AI Research.
Free Course and Certification for building an end-to-end machine using W&B.
The AI Scientist: Towards Fully Automated Open-Ended Scientific.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
Personalized soundscapes to help you focus, relax, and sleep. Backed by neuroscience.
Generate & monitor API keys, track usage, and manage Extract/Crawl end-points – all in one place.
Highest-end Qwen model for reasoning-heavy and complex agent workloads.