Neural Networks

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   Pre-registered replication tests dreaming Hopfield networks

   A Reddit author reports a pre-registered replication of the dreaming Hopfield network experiment from Fachechi, Agliari and Barra, implemented in NumPy with 1,000 neurons and 10 seeds per condition. At t=10, the reported empirical-capacity multiplier was 3.86, with a reported interval of 3.79 to 3.93, while correlated patterns with 0.15 ancestor overlap yielded a capacity of 9.06. The replication added a matched uniform-shrink control, and the study has been submitted to ReScience C while code, data and preregistrations are publicly available.

   r/MachineLearning · 🔥 0

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annotated_deep_learning_paper_implementa•4d Pinned

annotated_deep_learning_paper_implementations: Annotated PyTorch implementations and tutorials for understanding deep learning algorithms.

What problem it solves This project provides simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations and rendered as side-by-side formatted notes to help readers understand the algorithms better. Key features PyTorch Implementations — The project provides implementations of neural networks and related algorithms using PyTorch…

github.comhttps://github.com/labmlai/annotated_deep_learning_paper_implementations

OpenMontage•4d Pinned

OpenMontage: An open-source, agentic video production system for AI coding assistants.

What problem it solves Turning a video idea into a finished production normally requires coordinating research, scripting, asset generation, editing, composition, and review. AI coding assistants need a structured, agent-driven workflow that supports both generated visuals and real footage while keeping creative decisions reviewable. Key features Structured production pipelines — Pipeline workflow…

github.comhttps://github.com/calesthio/OpenMontage