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a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction

alphafold

Open source code for AlphaFold.

cast

convtransformertimeseries

Convolutional Transformer for time series

cvpr_2021_papers

CVPR2021最新论文汇总，主要包括：Transformer, NAS，模型压缩，模型评估，图像分类，检测，分割，跟踪，GAN，超分辨率，图像恢复，去雨，去雾，去模糊，去噪，重建等等

d2l-zh-pytorch-slides

Pytorch版代码幻灯片

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dl_learning

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

inception

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

logicomeprofiler

Logicome Profiler exhaustively detects statistically significant triplet logic relationships from a binary matrix dataset.

lstnet

lstnetwithsta

mpm

pytorch_convlstm

convolutional lstm implementation in pytorch

scinet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

stemgnn

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

swinlstm

tada

tcn

Sequence modeling benchmarks and temporal convolutional networks

torchgan

Research Framework for easy and efficient training of GANs based on Pytorch

transformer_time_series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

tstr

vision_transformer

ydata-synthetic

Synthetic structured data generators