godatta

godatta's Stars

• zeyuliu1037/LMUFormer

  ICLR 2024 LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units

  Language:Jupyter Notebook91

• godatta/Ultra-Low-Latency-SNN

  Language:Python4

• godatta/godatta.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript1

• bic-L/Masked-Spiking-Transformer

  [ICCV-23] Masked Spiking Transformer

  Language:Python262

• godatta/ISP-less-CV

  4

• mit-han-lab/tinyml

  Language:Python751137

• mtancak/PyTorch-ViT-Vision-Transformer

  PyTorch implementation of the Vision Transformer architecture

  Language:Python6

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook1.9k364

• ksouvik52/hiresnn2021

  Language:Python112

• gordicaleksa/pytorch-original-transformer

  My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

  Language:Jupyter Notebook982169

• usarawgi911/machine-learning-interview-questions

  12819

• nitin-rathi/hybrid-snn-conversion

  Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation

  Language:Python9424

• TaoRuijie/TalkNet-ASD

  ACM MM 2021: 'Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection'

  Language:Python30366

• NeuroCompLab-psu/SNN-Conversion

  Language:Python364