knowm / memristor-models-4-all
This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.
☆112Updated 5 years ago
Alternatives and similar repositories for memristor-models-4-all:
Users that are interested in memristor-models-4-all are comparing it to the libraries listed below
- Modeling of memristors in LTSpise environment☆24Updated 3 months ago
- Physical memristor/RRAM/resistive switching device SPICE compact model, that is able to accurately fit both unipolar/bipolar devices sett…☆39Updated 5 years ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆171Updated 5 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆79Updated 2 years ago
- ReRAM implementation on CNN☆18Updated 6 years ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆27Updated last year
- CrossSim: accuracy simulation of analog in-memory computing☆135Updated last week
- tinyODIN digital spiking neural network (SNN) processor - HDL source code and documentation.☆49Updated last year
- ☆35Updated 2 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago
- Spiking Neural Network RTL Implementation☆49Updated 3 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆53Updated 3 years ago
- A Simulation Framework for Memristive Deep Learning Systems☆144Updated 8 months ago
- This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of D…☆60Updated 2 years ago
- Fully opensource spiking neural network accelerator☆134Updated last year
- ☆44Updated last year
- Architecture for RRAM multilevel programming☆16Updated 6 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆152Updated last year
- Memristor modeling artifacts (including a model for use with LTspice)☆13Updated last year
- A project dedicated to developing a hardware Integrated Circuit (IC) for a Spike Neural Network (SNN), powered by the RTL code generated …☆41Updated 11 months ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆21Updated 4 years ago
- ☆87Updated 4 years ago
- memristor 1T1R array based CNN and ConvLSTM☆68Updated 5 years ago
- Memristor Reinforcement Learning☆28Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆59Updated 9 months ago
- A repository FPGA-friendly SNN models☆32Updated 3 years ago
- Verilog and Python drivers and APIs for Neurram 48-core chip☆32Updated 2 years ago
- HedgeHog Fused Spiking Neural Network Emulator/Compute Engine is a hardware implementation of a SNN designed for implementation in Xilinx…☆56Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆133Updated 11 months ago
- Quantized training method for RRAM-based systems.☆12Updated 6 years ago