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iKun's Projects

brecq icon brecq

Pytorch implementation of BRECQ, ICLR 2021

chatgpt_academic icon chatgpt_academic

科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能

dsr icon dsr

[CVPR 2022] Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation

ide-fsnn icon ide-fsnn

[NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State

pytorch-loss icon pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

qsnns icon qsnns

Quantization-aware training with spiking neural networks

re-loss icon re-loss

Reducing Information Loss for Spiking Neural Networks

snn2ann icon snn2ann

SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks

so-vits-svc-fork icon so-vits-svc-fork

so-vits-svc fork with realtime support, improved interface and more features.

spikeformer icon spikeformer

Pytorch Implementation of "SpikeFormer: Image Reconstruction from the Sequence of Spike Camera Based on Transformer"

tandem_learning icon tandem_learning

The source code for the paper entitled "A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks"

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