ethanxyluo

ethanxyluo's Stars

• mr-eggplant/FOA

  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes

  Language:Python595

• BenCrulis/binary_nn_extended

  Language:Jupyter Notebook2

• jsalbert/biotorch

  BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms

  Language:Python479

• guofei9987/scikit-opt

  Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

  Language:Python5.4k995

• ChFrenkel/DirectRandomTargetProjection

  PyTorch-based code for training fully-connected and convolutional networks using backpropagation (BP), feedback alignment (FA), direct feedback alignment (DFA), and direct random target projection (DRTP).

  Language:Python6418

• pulp-platform/odda-for-kws

  Language:Python83

• tugstugi/pytorch-speech-commands

  Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge

  Language:Python19747

• facebookresearch/WavAugment

  A library for speech data augmentation in time-domain

  Language:Python65258

• eva1801/DH-SNN

  Language:Python344

• SayeedChowdhury/dct-snn

  Code for DCT_SNN, an input encoding scheme for SNNs using DCT

  Language:Python166

• yfguo91/Awesome-Spiking-Neural-Networks

  Awesome Spiking Neural Networks

  11011

• Intelligent-Computing-Lab-Yale/BNTT-Batch-Normalization-Through-Time

  BNTT - Frontiers in Neuroscience (2021)

  Language:Python477

• Intelligent-Computing-Lab-Yale/Neural-Architecture-Search-for-Spiking-Neural-Networks

  Neural Architecture Search for Spiking Neural Networks, ECCV2022

  Language:Python6610

• chan8972/Enabling_Spikebased_Backpropagation

  Language:Python337

• fangwei123456/Parametric-Leaky-Integrate-and-Fire-Spiking-Neuron

  Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

  Language:Python9926

• SayeedChowdhury/IIR-SNN

  Language:Python156

• stonezwr/TSSL-BP

  Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

  Language:Python6826

• parkjjoe/sinabs-dynapcnn

  Low-Power Image Classification on Neuromorphic Hardware

  Language:Python3

• zbs881314/Temporal-Coded-Deep-SNN

  Language:Python267

• nitin-rathi/hybrid-snn-conversion

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

  Language:Python9924

• pkuxmq/OTTT-SNN

  [NeurIPS 2022] Online Training Through Time for Spiking Neural Networks

  Language:Python5510

• yfguo91/IM-Loss-Information-Maximization-Loss-for-Spiking-Neural-Networks

  Official simplified implementation of IM-Loss.

  Language:Python4

• liyxi/synthetic-digits

  The Synthetic Digits dataset for domain adaptation (PyTorch).

  Language:Python10

• liyxi/mnist-m

  The MNIST-M dataset for domain adaptation (PyTorch).

  Language:Python372

• Ariande1/MS-ResNet

  Advancing Spiking Neural Networks towards Deep Residual Learning

  Language:Python464

• yhhhli/SNN_Calibration

  Pytorch Implementation of Spiking Neural Networks Calibration, ICML 2021

  Language:Python8514

• ZK-Zhou/spikformer

  ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer

  Language:Python29847

• NeuroBench/neurobench

  Benchmark harness and baseline results for the NeuroBench algorithm track.

  Language:Python6515

• zhangmarvin/memo

  Language:Python606

• jeshraghian/snntorch

  Deep and online learning with spiking neural networks in Python

  Language:Python1.4k239