MengjieZhao

MengjieZhao's Stars

• lukas-blecher/LaTeX-OCR

  pix2tex: Using a ViT to convert images of equations into LaTeX code.

  Language:Python12.5k1k

• AndreasBergmeister/graph-generation

  Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"

  Language:Python105

• amazon-science/co-with-gnns-example

  Language:HTML14232

• thunil/Physics-Based-Deep-Learning

  Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

  1.7k303

• cure-lab/LTSF-Linear

  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

  Language:Python2k442

• cvlab-epfl/cvlab-kubernetes-guide

  Instructions and utilities for use of EPFL's compute cluster.

  Language:Python2211

• KimMeen/Awesome-GNN4TS

  [TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

  60650

• MilesCranmer/awesome-ml-demos

  Curated list of interactive ML demos

  33712

• tuslkkk/tadpak

  Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)

  Language:Python293

• wagner-d/TimeSeAD

  Language:Python396

• TorchSpatiotemporal/tsl

  tsl: a PyTorch library for processing spatiotemporal data.

  Language:Python26624

• dzambon/az-whiteness-test

  Language:Python5

• FelixDJC/Awesome-Graph-Anomaly-Detection

  A collection of papers for graph anomaly detection, and published algorithms and datasets.

  10914

• zylon-ai/private-gpt

  Interact with your documents using the power of GPT, 100% privately, no data leaks

  Language:Python54k7.3k

• SymposiumOrganization/Dynaformer

  Implementation, data and pretrained models for the paper "Dynaformer: A Deep Learning Model for Ageing-aware Battery Discharge Prediction"

  Language:Python241

• hfawaz/dl-4-tsc

  Deep Learning for Time Series Classification

  Language:Python1.6k571

• awesome-mlss/awesome-mlss

  🤖 Machine Learning Summer School deadlines

  Language:HTML2.7k296

• stefaniaebli/simplicial_neural_networks

  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

  Language:Jupyter Notebook738

• OpsPAI/MTAD

  MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

  Language:Python9615

• zhhlee/InterFusion

  KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

  Language:Python19946

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.5k1.4k

• python-control/python-control

  The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

  Language:Python1.7k424

• PaddlePaddle/PaddleTS

  Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

  Language:Python487118

• GuiminDong/GNN4IoT

  6710

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.6k1.1k

• astha-chem/mvts-ano-eval

  A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

  Language:Python9140

• GuansongPang/SOTA-Deep-Anomaly-Detection

  List of implementation of SOTA deep anomaly detection methods

  10319

• rob-med/awesome-TS-anomaly-detection

  List of tools & datasets for anomaly detection on time-series data.

  2.9k450

• aladdinpersson/Machine-Learning-Collection

  A resource for learning about Machine learning & Deep Learning

  Language:Python7.6k2.7k

• datamllab/tods

  TODS: An Automated Time-series Outlier Detection System

  Language:Python1.4k193