xychen-comp

xychen-comp's Stars

• liyc5929/neuroseqbench

  A benchmark suite for evaluating Spiking Neural Networks (SNNs) on temporal processing tasks, comparing abilities of SNN-related models and learning algorithms for extended temporal sequences.

  Language:Python12

• mollenhauerm/ECG-heartbeat-classification

  Human heart arrhythmia classification based on the MIT-BIH ECG data set with random Fourier feature GLM and kernel parameter estimation.

  Language:Jupyter Notebook3511

• fangwei123456/spikingjelly

  SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

  Language:Python1.5k261

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook43.8k6.1k

• EleutherAI/pythia

  The hub for EleutherAI's work on interpretability and learning dynamics

  Language:Jupyter Notebook2.4k181

• EleutherAI/gpt-neox

  An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

  Language:Python7.2k1k

• ZhangShimin1/TC-LIF

  Two-Compartment Leaky Integrate-and-Fire Model

  Language:Python162

• Windere/ASGL-SNN

  Offical implementation of "Adaptive Smoothing Gradient Learning for Spiking Neural Networks", ICML 2023

  Language:Python211

• xychen-comp/Hybrid-Coding-SNN

  Language:Python172

• haoxiangsnr/spiking-fullsubnet

  Official repository of Spiking-FullSubNet, the Intel N-DNS Challenge Algorithmic Track Winner.

  Language:Python9415

• fangwei123456/Parallel-Spiking-Neuron

  Language:Python494

• SpikingChen/SNN-Daily-Arxiv

  Update arXiv papers about Spiking Neural Networks daily.

  Language:Python35529

• Audio-WestlakeU/FN-SSL

  The Official PyTorch Implementation of FN-SSL & IPDnet for Sound Source Localization [INTERSPEECH2023 & TASLP2024]

  Language:Python10311

• idiap/nnsslm

  Neural Network based Sound Source Localization Models

  Language:Python389

• ischlag/fast-weight-transformers

  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.

  Language:Jupyter Notebook10411

• azarafrooz/dnc-with-demon

  This is pytorch implementation of "Differentiable Neural Computers" with Memory Demon presented at NeurIPS 2022 Workshop On Memory in Artificial and Real Intelligence.

  Language:Python61

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

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

  Language:Python10627

• ridgerchu/SpikeGPT

  Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"

  Language:Python79982

• qymeng94/DSR

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

  Language:Python506

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

  Neural Architecture Search for Spiking Neural Networks, ECCV2022

  Language:Python6612

• aqibsaeed/Genetic-CNN

  CNN architecture exploration using Genetic Algorithm

  Language:Python21896

• quark0/darts

  Differentiable architecture search for convolutional and recurrent networks

  Language:Python3.9k841

• Jackn0/snn_optimal_conversion_pipeline

  Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks

  Language:Python337