MaxRubby

ToastFish

一个利用摸鱼时间背单词的软件。

top-rss-list

订阅人数最多的rss源，中文优质rss源

neural_collaborative_filtering

Neural Collaborative Filtering

T-GCN

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Pytorch-Memory-Utils

pytorch memory track code

Graph-WaveNet

graph wavenet

Time-Series-Forecasting-and-Deep-Learning

Resources about time series forecasting and deep learning.

torchcde

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

transformer-ls

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

gru_ode_bayes

Pytorch implementation of GRU-ODE-Bayes

LargeST

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)

GANF

Offical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)

research_spatio-temporal-data-mining

A collection of research on spatio-temporal data mining

STGODE

Spatial-Temporal Graph ODE Neural Network

deep_learning_for_dynamical_systems

DAGMM-pytorch

Awesome-of-Time-Series-Augmentation

A curated list of time series augmentation resources.

C-Mixup

C-Mixup for NeurIPS 2022

STAG-GCN

Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting

DDGCRN

[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting

generalised-signature-method

Code for: "A Generalised Signature Method for Time Series"

Torch-MTS

My personal PyTorch framework for multivariate time series forecasting.

TrafficStream

ANCDE

Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting

Traffic_Data_Projection_Using_Graph-Convolution

Using GCN and ChebNet implement traffic flow data prediction.

DSAN

Dynamic Switch-Attention Network

FAGCN_PyG

Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometric (PyG).

data-augmentation-for-time-series-data

Remarkable performance of Deep Learning Models cann't be achieved without the massive data, this tool can help you to augment your time series data customly.

RDAT

DyHSL