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science-research

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This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel pruning / compression algorithms for deep learning / neural networks. Amongst others it implements structured pruning before training, its actual parameter shrinking and unstructured before/during training.

  • Updated Jun 12, 2020
  • Python

OUTDATED, FIND MY ESP32 REPO AT https://github.com/moothyknight/HEG_ESP32 -- A DIY instruction set and rough program to run an HEG off an Arduino Nano. It uses an IR and Red LED, an OPT101 sensor, an ADS1115, and an Arduino Nano V3. The HEG is basically a pulse oximeter for your cortex, but allows for biofeedback and direct control.

  • Updated Sep 26, 2019
  • C++

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