openBII / HNNLinks
A programming framework based on PyTorch for hybrid neural networks with automatic quantization
☆20Updated last year
Alternatives and similar repositories for HNN
Users that are interested in HNN are comparing it to the libraries listed below
Sorting:
- ☆40Updated 2 years ago
- Reproduce Spiking Transformer via Braincog☆16Updated last week
- Official repository of SpikeZIP-TF in ICML2024☆47Updated last year
- ☆55Updated 3 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
- ☆18Updated 2 years ago
- [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks☆67Updated 2 years ago
- Offical implementation of "Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training" (IEEE T-PAMI2025)☆89Updated 7 months ago
- An open-source framework for spike vision☆137Updated 4 months ago
- GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks, NeurIPS 2022 Poster☆54Updated 2 years ago
- Paper list for SNN based computer vision tasks.☆130Updated last year
- code for generating data set ES-ImageNet with corresponding training code☆32Updated last year
- ☆55Updated last year
- Benchmark harness and baseline results for the NeuroBench algorithm track.☆103Updated last week
- ☆59Updated 2 years ago
- ☆31Updated 2 years ago
- Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.☆44Updated 3 years ago
- I will share some useful or interesting papers about neuromorphic processor☆28Updated 11 months ago
- Implementation of "A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception". CVPRW 2024☆35Updated last year
- Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)☆17Updated last year
- ReckOn: A Spiking RNN Processor Enabling On-Chip Learning over Second-Long Timescales - HDL source code and documentation.☆92Updated 3 years ago
- ☆41Updated 2 years ago
- Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation …☆212Updated last year
- Neural Architecture Search for Spiking Neural Networks, ECCV2022☆72Updated 3 years ago
- Advancing Spiking Neural Networks towards Deep Residual Learning☆61Updated 9 months ago
- STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks☆23Updated 3 years ago
- An event-driven learning algorithm for spiking neural networks☆31Updated last year
- Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks☆33Updated 4 years ago
- Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks☆116Updated 3 years ago
- The official implementation of HPCA 2025 paper, Prosperity: Accelerating Spiking Neural Networks via Product Sparsity☆36Updated 5 months ago