joksas / nonideality-aware-mnn-training
Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”
☆10Updated last year
Related projects ⓘ
Alternatives and complementary repositories for nonideality-aware-mnn-training
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆25Updated last year
- This Pytorch-based framework demonstrates a sentiment analysis task in the IMDB movie reviews dataset using an SNN with a statistic memri…☆19Updated last year
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆19Updated last year
- ☆8Updated 4 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆24Updated 8 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆23Updated last year
- Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.☆27Updated last year
- ☆34Updated 2 years ago
- ☆21Updated 5 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆33Updated 8 months ago
- Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).☆15Updated 3 years ago
- Verilog and Python drivers and APIs for Neurram 48-core chip☆28Updated 2 years ago
- Framework for radix encoded SNN on FPGA☆13Updated 2 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆52Updated 3 years ago
- memristor 1T1R array based CNN and ConvLSTM☆64Updated 5 years ago
- tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.☆38Updated last year
- Memristor Reinforcement Learning☆25Updated 5 years ago
- ReRAM implementation on CNN☆17Updated 5 years ago
- IEEE Transactions on Circuits and Systems I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures☆22Updated 5 years ago
- ☆31Updated 10 months ago
- A Simulation Framework for Memristive Deep Learning Systems☆135Updated 5 months ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- Architecture for RRAM multilevel programming☆16Updated 6 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆75Updated 2 years ago
- CrossSim: accuracy simulation of analog in-memory computing☆125Updated last month
- Spiking neural network for Zynq devices with Vivado HLS☆30Updated 6 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆45Updated 3 years ago
- This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.☆106Updated 5 years ago
- Structured clustering for memristive crossbar based neuromorphic architectures☆14Updated 5 years ago
- Fully opensource spiking neural network accelerator☆128Updated last year