DanyaXu

DanyaXu's Stars

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k529

• AIStream-Peelout/flow-forecast

  Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

  Language:Python2.1k297

• w-black/Multivariate-Timeseries-Forecasting-via-Graph-Neural-Networks

  Generates low dimensional embeddings for highly multivariate time-series as a methods for forecasting values via KNN

  Language:Python61

• aravindsankar28/DySAT

  Representation learning on dynamic graphs using self-attention networks

  Language:Python28543

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python1k190

• dna1980drys/mnistGNN

  MNIST classification by using GCN

  4711

• diningphil/gnn-comparison

  Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

  Language:Python38954

• sw-gong/MoNet

  Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)

  Language:Python5510

• hazdzz/STGCN

  The PyTorch implementation of STGCN.

  Language:Python513111

• muhanzhang/pytorch_DGCNN

  PyTorch implementation of DGCNN

  Language:Python374123

• yysijie/st-gcn

  Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

  Language:Python1.5k338

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.2k3k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k3.7k

• RexYing/gnn-model-explainer

  gnn explainer

  Language:Python902181

• RamanHacks/Fault-Diagnosis

  Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks

  Language:Jupyter Notebook3810

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.6k3k

• bbrattoli/ZeroShotVideoClassification

  Zero-shot video classification by end-to-end training of 3D convolutional neural networks

  Language:Python14624

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.5k5.4k

• Sidcito/Financial_Crash_Landscape_Analysis_using_TDA

  Topological Data Analysis of a Financial Time Series for insights from Landscapes for detecting Financial Crashes

  Language:Jupyter Notebook106

• alteryx/predict-remaining-useful-life

  Predict remaining useful life of a component based on historical sensor observations using automated feature engineering

  Language:Jupyter Notebook232114

• ZZUTK/Delay_Embedding

  Delay embedding for time series modeling and classification

  Language:Matlab167

• jwf-zz/tdetools

  Time-Delay Embedding Classification Apps

  Language:C++78

• OminiaVincit/delay-variant-embed

  Analysis code for "Topological Time-series Analysis with Delay-variant Embedding" Manuscript.

  Language:C++115

• aamini/evidential-deep-learning

  Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

  Language:Python44895

• hustcxl/Deep-learning-in-PHM

  Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

  424103

• salimandre/unsupervised-image-segmentation-persistent-homology

  Unsupervised image segmentation by applying topological data analysis techniques.

  Language:Python302

• andrew-yarmola/topological-data-analysis

  Topological data analysis

  Language:Jupyter Notebook42

• CSU-TDA/PersistenceImages

  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".

  Language:MATLAB4314

• stephenhky/MoguTDA

  Topological Data Analysis in Python: Simplicial Complex

  Language:Python11926

• stephenhky/PyTDA

  Topological Data Analysis in Python

  Language:Python16934