sunwoolee / lptorch
An extention of pytorch for low precision training / inference
☆10Updated last year
Alternatives and similar repositories for lptorch:
Users that are interested in lptorch are comparing it to the libraries listed below
- I will share some useful or interesting papers about neuromorphic processor☆25Updated 3 months ago
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆84Updated 3 years ago
- Benchmark framework of synaptic device technologies for a simple neural network☆203Updated 3 years ago
- Leaky Integrate and Fire (LIF) model implementation for FPGA☆62Updated last year
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆35Updated 4 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆26Updated 7 months ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆51Updated 3 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆33Updated 5 years ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆182Updated 6 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆48Updated 3 years ago
- ☆14Updated 3 weeks ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆161Updated 5 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆147Updated last year
- NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation (HPCA 2022)☆11Updated 2 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆13Updated last year
- FPGA Design of a Spiking Neural Network.☆39Updated 11 months ago
- An energy simulation framework for BPTT-based SNN inference and training.☆15Updated last year
- Framework for radix encoded SNN on FPGA☆12Updated 3 years ago
- Hardware implementation of Spiking Neural Network on a PYNQ-Z1 board☆36Updated 5 years ago
- ☆33Updated last year
- ☆17Updated 4 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)☆65Updated 2 months ago
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated 2 years ago
- Modeling of memristors in LTSpise environment☆28Updated 6 months ago
- Spiking Neural Network RTL Implementation