Skip to content

@Intelligent-Microsystems-Lab Intelligent Microsystems Lab

Change the repository type filter

All

    Repositories list

    13 repositories

    • QuantizedCIL

      Public
      quantized class incremental learning
      Jupyter Notebook
      •
      Other
      •0•2•0•0•Updated Sep 5, 2024Sep 5, 2024

    • slax

      Public
      Jupyter Notebook
      •
      Apache License 2.0
      •0•8•2•0•Updated Aug 1, 2024Aug 1, 2024

    • timeloop-quant

      Public
      This version supports per-operand precision
      C++
      •
      BSD 3-Clause "New" or "Revised" License
      •108•1•0•0•Updated Jun 13, 2024Jun 13, 2024

    • OTPE

      Public
      Jupyter Notebook
      •
      MIT License
      •0•7•0•0•Updated Jan 12, 2024Jan 12, 2024

    • jax_squant

      Public
      PTQ using SQuant paper in JAX
      Python
      •0•1•0•0•Updated Apr 26, 2023Apr 26, 2023

    • SNNQuantPrune

      Public
      Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"
      machine-learningsparsityspiking-neural-networksquantizationsnnquantization-aware-trainingdeep-learning
      Python
      •4•10•0•0•Updated Apr 20, 2023Apr 20, 2023

    • HeterogeneousQuantization

      Public
      Python
      •1•2•0•0•Updated Sep 28, 2022Sep 28, 2022

    • slayerPytorch

      Public archive
      Modified version of SLAYER including pruning and dropout techniques
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •93•0•0•0•Updated Jul 21, 2022Jul 21, 2022

    • timeloop

      Public archive
      C++
      •
      BSD 3-Clause "New" or "Revised" License
      •108•0•0•0•Updated Feb 3, 2022Feb 3, 2022

    • QuantizedLSTM

      Public
      Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).
      lstmquantizationkws
      Shell
      •4•14•0•0•Updated Mar 25, 2021Mar 25, 2021

    • QuantizedSNNs

      Public
      This 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 and Inference in Digital Neuromorphic Accelerators" (ISCAS 2020).
      spiking-neural-networksquantizationsnn
      Python
      •
      MIT License
      •1•13•0•0•Updated Oct 20, 2020Oct 20, 2020

    • Network_Analysis

      Public
      Pytorch code to view the effectiveness of a neural network over time using the Henze-Penrose statistic and Fisher permutation test for means.
      Python
      •0•7•0•0•Updated Mar 15, 2020Mar 15, 2020

    • NVSim

      Public archive
      NVSim - A performance, energy and area estimation tool for non-volatile memory (NVM)
      C++
      •50•0•0•0•Updated Aug 27, 2018Aug 27, 2018