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
- ☆34Updated 2 years ago
- 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
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆23Updated last year
- Simulations using Brian for memristor-based neural networks using STDP learning☆25Updated 8 years ago
- Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.☆27Updated last year
- ☆8Updated 4 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆35Updated 8 months ago
- ☆31Updated 10 months ago
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆19Updated last year
- Framework for radix encoded SNN on FPGA☆13Updated 2 years ago
- ☆21Updated 5 years ago
- Verilog and Python drivers and APIs for Neurram 48-core chip☆31Updated 2 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 2 years ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 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
- A Simulation Framework for Memristive Deep Learning Systems☆139Updated 6 months ago
- ReRAM implementation on CNN☆17Updated 5 years ago
- In-sensor reservoir computing for language learning via two-dimensional memristors☆13Updated last year
- Memristor Reinforcement Learning☆25Updated 5 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆34Updated 4 years ago
- Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).☆15Updated 3 years ago
- Architecture for RRAM multilevel programming☆16Updated 6 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆52Updated 3 years ago
- tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.☆41Updated last year
- Modeling of memristors in LTSpise environment☆20Updated last month
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆77Updated 2 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆30Updated 5 years ago
- CrossSim: accuracy simulation of analog in-memory computing☆127Updated 2 months ago
- memristor 1T1R array based CNN and ConvLSTM☆66Updated 5 years ago