coreylammie / MemTorch
A Simulation Framework for Memristive Deep Learning Systems
☆153Updated last year
Alternatives and similar repositories for MemTorch
Users that are interested in MemTorch are comparing it to the libraries listed below
Sorting:
- CrossSim: accuracy simulation of analog in-memory computing☆159Updated last month
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆84Updated 3 years ago
- Benchmark framework of synaptic device technologies for a simple neural network☆203Updated 3 years ago
- Modeling of memristors in LTSpise environment☆29Updated 7 months ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆28Updated last year
- ☆37Updated 2 years ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆184Updated 6 years ago
- memristor 1T1R array based CNN and ConvLSTM☆69Updated 5 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆163Updated 5 months ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆47Updated last year
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆26Updated 2 years ago
- Leaky Integrate and Fire (LIF) model implementation for FPGA☆62Updated last year
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆161Updated last year
- ReRAM implementation on CNN☆18Updated 6 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆55Updated 3 years ago
- ☆33Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆150Updated last year
- Spiking Neural Network RTL Implementation☆57Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆65Updated 2 months ago
- tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.☆56Updated 2 years ago
- Simulations using Brian for memristor-based neural networks using STDP learning☆26Updated 8 years ago
- I will share some useful or interesting papers about neuromorphic processor☆25Updated 3 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆42Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆48Updated 3 years ago
- FPGA Design of a Spiking Neural Network.☆39Updated 11 months ago
- This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.☆120Updated 6 years ago
- Verilog and Python drivers and APIs for Neurram 48-core chip☆37Updated 2 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆36Updated 5 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆27Updated 7 months ago