Intelligent-Microsystems-Lab / QuantizedLSTM
Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).
☆14Updated 4 years ago
Alternatives and similar repositories for QuantizedLSTM:
Users that are interested in QuantizedLSTM are comparing it to the libraries listed below
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆47Updated 3 years ago
- Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators☆11Updated 5 years ago
- ReRAM implementation on CNN☆18Updated 6 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆34Updated 2 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆42Updated 4 years ago
- Architecture for RRAM multilevel programming☆16Updated 6 years ago
- ☆15Updated 10 months ago
- Benchmark framework of synaptic device technologies for a simple neural network☆26Updated 4 years ago
- a Computing In Memory emULATOR framework☆10Updated 10 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆21Updated 3 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆33Updated 5 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆37Updated 5 years ago
- Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration☆22Updated 3 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆61Updated 2 weeks ago
- ☆17Updated 4 years ago
- Open-source of MSD framework☆16Updated last year
- A simulator for RRAM-based neural processor engine.☆32Updated 7 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆82Updated 3 years ago
- Stochastic Computing for Deep Neural Networks☆31Updated 4 years ago
- Framework for radix encoded SNN on FPGA☆13Updated 3 years ago
- ☆26Updated 3 months ago
- A collection of research papers on SRAM-based compute-in-memory architectures.☆28Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆67Updated last year
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆38Updated 5 years ago
- This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of D…☆64Updated 2 years ago
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated last year
- ☆12Updated last year
- Spiking Neural Network Accelerator☆15Updated 2 years ago
- This is the RTL implementation of Shenjing, a low power neuromorphic computing accelerator☆17Updated 4 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆55Updated 3 years ago