Tsinghua-LEMON-Lab / software_edge_learning_memristor_chip
Code for Edge Learning Using a Fully Integrated Neuro-Inspired Memristor Chip
☆13Updated last year
Related projects ⓘ
Alternatives and complementary repositories for software_edge_learning_memristor_chip
- ☆31Updated 10 months ago
- [TCAD'24] This repository contains the source code for the paper "FireFly v2: Advancing Hardware Support for High-Performance Spiking Neu…☆14Updated 6 months ago
- ☆17Updated 3 years ago
- Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.☆35Updated 8 months ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆77Updated 2 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆52Updated 3 years ago
- ☆34Updated 2 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆25Updated 2 months ago
- Framework for radix encoded SNN on FPGA☆13Updated 2 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆10Updated 2 years ago
- Modeling of memristors in LTSpise environment☆20Updated last month
- ☆41Updated 9 months ago
- ☆9Updated 6 months ago
- C++ code for HLS FPGA implementation of transformer☆12Updated 2 months ago
- ☆16Updated 2 years ago
- Verilog and Python drivers and APIs for Neurram 48-core chip☆31Updated 2 years ago
- Feed-forward neural networks can be trained based on a gradient-descent based backpropagation algorithm. But, these algorithms require mo…☆12Updated 4 years ago
- Notebooks for Hardware-Aware Training of Spiking Neural Networks. Open-Source Neuromorphic Circuit Design Tutorial at ESSCIRC 2023.☆19Updated last year
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆29Updated 5 years ago
- UCSD CSE 237D Spring '20 Course Project☆14Updated last year
- An energy simulation framework for BPTT-based SNN inference and training.☆14Updated last year
- Collection of kernel accelerators optimised for LLM execution☆10Updated 3 months ago
- Torch2Chip (MLSys, 2024)☆51Updated 2 months ago
- FPGA Design of a Spiking Neural Network.☆34Updated 6 months ago
- Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”☆10Updated last year
- ☆15Updated last year
- A Spiking neural network simulator NEST base on FPGA‘s cluster(LIF NEURON)☆18Updated 5 years ago
- NeuroPack, a tool for emulating memristor-based neuromorphic architectures☆23Updated last year
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆10Updated 7 months ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago