coreylammie / MemTorch
A Simulation Framework for Memristive Deep Learning Systems
☆139Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for MemTorch
- CrossSim: accuracy simulation of analog in-memory computing☆127Updated last month
- Modeling of memristors in LTSpise environment☆20Updated last month
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆121Updated 9 months ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆77Updated 2 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆142Updated 6 months ago
- ☆34Updated 2 years ago
- memristor 1T1R array based CNN and ConvLSTM☆66Updated 5 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆144Updated last year
- Benchmark framework of synaptic device technologies for a simple neural network☆182Updated 3 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆34Updated 4 years ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆162Updated 5 years ago
- ☆31Updated 10 months ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆52Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆54Updated 7 months ago
- A Python tool for computing and plotting currents and voltages in passive crossbar arrays.☆25Updated last year
- This project aims to be a collaborative effort to collect under one roof all the memristor models published to date.☆108Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆46Updated 3 years ago
- Structured clustering for memristive crossbar based neuromorphic architectures☆14Updated 5 years ago
- Spiking Neural Network RTL Implementation☆45Updated 3 years ago
- ReRAM implementation on CNN☆17Updated 5 years ago
- ☆8Updated 4 years ago
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆19Updated last year
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆20Updated 4 years ago
- Python implementations and simulations of HP Labs Ion Drift and Yakopcic memristor models.☆27Updated last year
- I will share some useful or interesting papers about neuromorphic processor☆17Updated 3 months ago
- Fully opensource spiking neural network accelerator☆130Updated last year
- Stochastic Computing for Deep Neural Networks☆28Updated 3 years ago
- A Spiking neural network simulator NEST base on FPGA‘s cluster(LIF NEURON)☆17Updated 4 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆25Updated last month
- Leaky Integrate and Fire (LIF) model implementation for FPGA☆45Updated last year