wponghiran / dvs128_gesture_pytorchLinks
Original DVS128 Gesture Dataset in PyTorch
☆12Updated 2 years ago
Alternatives and similar repositories for dvs128_gesture_pytorch
Users that are interested in dvs128_gesture_pytorch are comparing it to the libraries listed below
Sorting:
- SATA_Sim is an energy estimation framework for Backpropagation-Through-Time (BPTT) based Spiking Neural Networks (SNNs) training and infe…☆28Updated 11 months ago
- STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize …☆30Updated 3 years ago
- ☆18Updated 2 years ago
- [NeurIPS 2024] Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation☆18Updated 7 months ago
- CORDIC-SNN, followed with "Unsupervised learning of digital recognition using STDP" published in 2015, frontiers☆23Updated 5 years ago
- FPGA acceleration of a Spike-Timing-Dependent Plasticity learning algorithm for Spiking Neural Networks☆38Updated 5 years ago
- Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation☆102Updated 4 years ago
- SSTDP is a efficient spiking neural network training framework, which is contributed by Fangxin Liu and Wenbo Zhao.☆35Updated 3 years ago
- I will share some useful or interesting papers about neuromorphic processor☆26Updated 6 months ago
- PyTorch Implementation of Online Training of Spiking Recurrent Neural Networks with Phase-Change Memory Synapses☆21Updated 3 years ago
- Spiking Neural Network RTL Implementation☆58Updated 4 years ago
- Collect important papers about snn☆32Updated 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
- A repository FPGA-friendly SNN models☆33Updated 4 years ago
- Framework for radix encoded SNN on FPGA☆14Updated 3 years ago
- PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.☆53Updated 3 years ago
- Deep SNNs with various neural coding methods (rate, phase, burst, TTFS)☆11Updated 3 years ago
- FPGA based Leaky Integrate and Fire (LIF) neuron model accelerator for PyTorch☆76Updated last month
- Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT☆81Updated 2 years ago
- MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024, Nominated for Best Paper Award☆15Updated last year
- Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.☆177Updated last year
- The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.☆52Updated 4 years ago
- Code for the model presented in the paper "LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recogniti…☆11Updated 4 years ago
- Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)☆81Updated last year
- Quantization-aware training with spiking neural networks☆44Updated 3 years ago
- A simple direct training implement for SNNs using Spatio-Temporal Backpropagation☆88Updated 2 years ago
- Repository code for the IJCNN 2021 paper "Learning from Event Cameras with Sparse Spiking Convolutional Neural Networks"☆17Updated 3 years ago
- Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024 spotlight)☆23Updated 3 months ago
- ☆17Updated 4 years ago
- FPGA Design of a Spiking Neural Network.☆42Updated last year