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)☆48Updated 3 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆34Updated 2 years ago
- Architecture for RRAM multilevel programming☆16Updated 6 years ago
- ☆16Updated 11 months ago
- a Computing In Memory emULATOR framework☆10Updated 10 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆42Updated 4 years ago
- Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators☆11Updated 6 years ago
- Benchmark framework of synaptic device technologies for a simple neural network☆27Updated 4 years ago
- ReRAM implementation on CNN☆18Updated 6 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆36Updated 5 years ago
- ☆17Updated 4 years 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)☆61Updated last month
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆33Updated 5 years ago
- Framework for radix encoded SNN on FPGA☆12Updated 3 years ago
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated last year
- ☆17Updated 4 years ago
- A simulator for RRAM-based neural processor engine.☆32Updated 7 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆55Updated 3 years ago
- Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration☆22Updated 3 years ago
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆39Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆67Updated last year
- This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of D…☆65Updated 2 years ago
- ☆18Updated 2 years ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- IEEE Transactions on Circuits and Systems I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures☆26Updated 5 years ago
- Arrhythmia Detection Using Algorithm and Hardware Co-design for Neural Network Inference Accelerators☆17Updated last year
- Quantized training method for RRAM-based systems.☆12Updated 6 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆21Updated 3 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago