Intelligent Microsystems Lab
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QuantizedLSTM
QuantizedLSTM PublicModels and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).
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QuantizedSNNs
QuantizedSNNs PublicThis repository contains the models and training scripts used in the papers: "Quantizing Spiking Neural Networks with Integers" (ICONS 2020) and "Memory Organization for Energy-Efficient Learning a…
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SNNQuantPrune
SNNQuantPrune PublicCode for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"
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Network_Analysis
Network_Analysis PublicPytorch code to view the effectiveness of a neural network over time using the Henze-Penrose statistic and Fisher permutation test for means.
Python 7
Repositories
- SNNQuantPrune Public
Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"
Intelligent-Microsystems-Lab/SNNQuantPrune’s past year of commit activity - HeterogeneousQuantization Public
Intelligent-Microsystems-Lab/HeterogeneousQuantization’s past year of commit activity - slayerPytorch Public archive Forked from bamsumit/slayerPytorch
Modified version of SLAYER including pruning and dropout techniques
Intelligent-Microsystems-Lab/slayerPytorch’s past year of commit activity - QuantizedLSTM Public
Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).
Intelligent-Microsystems-Lab/QuantizedLSTM’s past year of commit activity