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Deepity library offers faster predictive coding than JAX and ngc-learn

By PulseAugur Editorial · [1 sources] ·

A new predictive coding library called Deepity has been released, offering a C++/CUDA implementation with Python bindings. This library aims to provide an alternative to traditional backpropagation by using local belief updates and predictions between layers. Benchmarks on MNIST show Deepity outperforming JAX's jpc and ngc-learn in terms of speed while achieving comparable or better accuracy. AI

IMPACT Offers a potentially faster and more memory-efficient alternative to backpropagation for certain tasks.

RANK_REASON Release of a new, optimized library for a specific machine learning technique (predictive coding) with benchmark comparisons. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Deepity library offers faster predictive coding than JAX and ngc-learn

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11 / 100
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Newsworthiness bucket
Tool
Release of a new, optimized library for a specific machine learning technique (predictive coding) with benchmark comparisons. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Important-Home4431 ·

    Deepity: a hand-tuned C++/CUDA predictive coding library, beats jpc (JAX) and ngc-learn on MNIST (CPU benchmarks + source inside) [P]

    <!-- SC_OFF --><div class="md"><p>I've been building a predictive coding (PC) engine from scratch in C++20, with a thin Python layer on top, and just cut the first public release. Posting here for feedback and because I haven't seen many from-scratch PC implementations with real …

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