YinsongYan

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

TCN

Sequence modeling benchmarks and temporal convolutional networks

Awesome-Incremental-Learning

Awesome Incremental Learning

s4

Structured state space sequence models

JetBrainsActiveCode

Jetbrains Active Code

prml

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Spiking-Neural-Network

Pure python implementation of SNN

music-generation-with-DL

Resources on Music Generation with Deep Learning

zzz-api

优质稳定的OpenAI的API接口-For企业和开发者。OpenAI的api proxy，支持ChatGPT的API调用，支持openai的API接口，支持：gpt-4，gpt-3.5。不需要openai Key, 不需要买openai的账号，不需要美元的银行卡，通通不用的，直接调用就行，稳定好用！！智增增

torch-dct

DCT (discrete cosine transform) functions for pytorch

SNN-Daily-Arxiv

Update arXiv papers about Spiking Neural Networks daily.

awesome-snn-conference-paper

🔥 This repo collects top international conference papers, codes about Spiking Neural Networks. 本仓库收集了脉冲神经网络领域的顶会顶刊论文和代码，正在持续更新中。

Awesome-Spiking-Neural-Networks

A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。

understanding_dl

A lecture note for understanding deep learning

tnlearn

A Python package that uses task-based neurons to build neural networks.

multires-conv

Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

LSNN-official

Long short-term memory Spiking Neural Networks

eligibility_propagation

Efficient-spiking-networks

Accurate and efficient Spiking recurrent networks on ECG,SHD,SSC,SOLI,(p)SMNIST,TIMIT

eprop-PyTorch

PyTorch implementation of the eligibility propagation (e-prop) learning algorithm.

DSR

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

sFPTT

FeedForward Propagation Through Time on Spiking Neural Network (SNNs)

pytorch-lstm-text-generation-tutorial

FPTT

Training Recurrent Neural Networks via Forward Propagation Through Time

must-read-papers-on-snn

Collect important papers about snn

DH-SNN

Spike-Based-Hybrid-plasticity-Network

muspy-exp

Code for the experiments in the paper "MusPy: A Toolkit for Symbolic Music Generation"

text_generation-

Generating text by using LSTM model in pytorch framework.