Intelligent-Microsystems-Lab / QuantizedLSTMLinks
Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).
☆16Updated 4 years ago
Alternatives and similar repositories for QuantizedLSTM
Users that are interested in QuantizedLSTM are comparing it to the libraries listed below
Sorting:
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆52Updated 4 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆36Updated 6 years ago
- ☆18Updated last year
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆57Updated 3 years ago
- Architecture for RRAM multilevel programming☆17Updated 6 years ago
- Benchmark framework of synaptic device technologies for a simple neural network☆28Updated 5 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆34Updated 5 years ago
- ReRAM implementation on CNN☆18Updated 6 years ago
- a Computing In Memory emULATOR framework☆13Updated last year
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆43Updated 4 years ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆85Updated 3 years ago
- FPGA implement of 8x8 weight stationary systolic array DNN accelerator☆11Updated 4 years ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- A Unified Framework for Training, Mapping and Simulation of ReRAM-Based Convolutional Neural Network Acceleration☆34Updated 3 years ago
- ☆19Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆72Updated 4 months ago
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆170Updated 7 months ago
- ☆17Updated 4 years ago
- Benchmark framework of synaptic device technologies for a simple neural network☆207Updated 3 years ago
- Open-source of MSD framework☆16Updated last year
- bitfusion verilog implementation☆10Updated 3 years ago
- SNN on FPGA☆10Updated 3 years ago
- A simulator for RRAM-based neural processor engine.☆33Updated 7 years ago
- An FPGA Accelerator for Transformer Inference☆85Updated 3 years ago
- ☆44Updated 2 years ago
- This repository includes the Resistive Random Access Memory (RRAM) Compiler which is designed in the context of the research project of D…☆68Updated 2 years ago
- Training and Implementation of a CNN for image classification with binary weights and activations on FPGA with HLS tools☆53Updated 7 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆157Updated last year
- An HLS based winograd systolic CNN accelerator☆53Updated 3 years ago