adamsolomou / SC-DNNLinks
Stochastic Computing for Deep Neural Networks
☆33Updated 4 years ago
Alternatives and similar repositories for SC-DNN
Users that are interested in SC-DNN 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
- ☆17Updated 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
- Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration☆23Updated 3 years ago
- [FPL 2021] SyncNN: Evaluating and Accelerating Spiking Neural Networks on FPGAs.☆59Updated 4 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆34Updated 5 years ago
- ☆11Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆73Updated 5 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network☆43Updated 5 years ago
- Fully Hardware-Based Stochastic Neural Network☆22Updated 6 months ago
- ☆18Updated last year
- The project includes SRAM In Memory Computing Accelerator with updates in design/circuits submitted previously in MPW7, by IITD researche…☆12Updated 2 years ago
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆94Updated 3 years ago
- [TCAD'24] This repository contains the source code for the paper "FireFly v2: Advancing Hardware Support for High-Performance Spiking Neu…☆20Updated last year
- ☆44Updated 2 years ago
- Spiking Neural Network Accelerator☆15Updated 3 years ago
- A collection of tutorials for the fpgaConvNet framework.☆43Updated 10 months ago
- From Pytorch model to C++ for Vitis HLS☆17Updated last week
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆159Updated last year
- Quantized Training for Convolutional Neural Networks using Xilinx Brevitas☆12Updated 3 years ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- Fast Emulation of Approximate DNN Accelerators in PyTorch☆24Updated last year
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆170Updated 8 months ago
- C++ code for HLS FPGA implementation of transformer☆17Updated 10 months ago
- A reading list for SRAM-based Compute-In-Memory (CIM) research.☆75Updated 2 months ago
- Models and training scripts for "LSTMs for Keyword Spotting with ReRAM-based Compute-In-Memory Architectures" (ISCAS 2021).☆16Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆72Updated last year
- ☆28Updated 4 months ago
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆40Updated 5 years ago