sunwoolee / lptorchLinks
An extention of pytorch for low precision training / inference
☆10Updated 2 years ago
Alternatives and similar repositories for lptorch
Users that are interested in lptorch are comparing it to the libraries listed below
Sorting:
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆86Updated 3 years ago
- I will share some useful or interesting papers about neuromorphic processor☆27Updated 7 months ago
- Benchmark framework of synaptic device technologies for a simple neural network☆212Updated 3 years ago
- FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch☆80Updated 2 months ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆164Updated last year
- An energy simulation framework for BPTT-based SNN inference and training.☆16Updated 2 years ago
- A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems☆175Updated 10 months ago
- ODIN online-learning digital spiking neural network (SNN) processor - HDL source code and documentation.☆193Updated 6 years ago
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated last year
- bitfusion verilog implementation☆12Updated 3 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆39Updated 5 years ago
- Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)☆52Updated 4 years ago
- Quantized Training for Convolutional Neural Networks using Xilinx Brevitas☆12Updated 3 years ago
- ☆17Updated 4 years ago
- A Simulation Framework for Memristive Deep Learning Systems☆164Updated last year
- Accelergy is an energy estimation infrastructure for accelerator energy estimations☆149Updated 4 months ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- Stochastic Computing for Deep Neural Networks☆33Updated 4 years ago
- The CyNAPSE Neuromorphic Accelerator: A Digital Spiking neural network accelerator written in fully synthesizable verilog HDL☆35Updated 6 years ago
- CrossSim: accuracy simulation of analog in-memory computing☆175Updated 6 months ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆36Updated last month
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆94Updated 3 years ago
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆183Updated last year
- NeuroSync: A Scalable and Accurate Brain Simulation System using Safe and Efficient Speculation (HPCA 2022)☆12Updated 2 years ago
- Spiking Neural Network RTL Implementation☆60Updated 4 years ago
- HW Architecture-Mapping Design Space Exploration Framework for Deep Learning Accelerators☆158Updated last month
- Code for the ISCAS23 paper "The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks"☆11Updated 2 years ago
- ☆48Updated last year
- Neural Network Evaluation Tool on Crossbar-based Accelerator with Resistive Memory☆41Updated 5 years ago
- Modeling of memristors in LTSpise environment☆33Updated last month