Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
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Deep Learning: Foundations and Concepts provides machine-learning models, research, training resources, or evaluation tools.
AI Interview Assistant for real-time support. Unlimited sessions, dual responses, and AI models.
A macOS app for browsing Claude Code sessions, exploring diffs, and re-running commands. Reads local transcripts, runs offline, open source.
Ego-Exo4D: a foundational dataset by Meta for research on video learning and multimodal perception.
Foundational Models for State-of-the-Art Speech and Text Translation.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
Deep learning foundations and applications.
DSPy: The framework for programming — not prompting — foundation models.