MengjieZhao
A Ph.D student at EPFL. Specialized in graph neural networks for IIoT time series. Co-Founder of kiio.ai
EPFLLausanne
MengjieZhao's Stars
azminewasi/Awesome-Graph-Research-ICML2024
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
afraniomelo/KydLIB
Routines for exploratory data analysis.
EPFL-IMOS/simple-SFOD
Code for "Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights" (ECCV 2024)
giotto-ai/giotto-tda
A high-performance topological machine learning toolbox in Python
EPFL-IMOS/crack-explanations
Code for "From classification to segmentation with explainable AI: A study on crack detection and growth monitoring" (Automation in Construction 2024)
ngruver/llmtime
PowerGraph-Datasets/PowerGraph-XAI
EPFL-IMOS/dyedgegat
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
chr26195/PMLP
This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", which is accepted to ICLR 2023.
itprorh66/SolarPV-Simulator
A Python Project to model the operation of an off grid Solar Power System in order to define correct sizing information.
camlab-ethz/poseidon
Code for the paper "Poseidon: Efficient Foundation Models for PDEs"
dmitrykazhdan/concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
kdu4108/semiring-backprop-exps
ZongXR/Baidu_KDD_CUP_2022
Spatial Dynamic Wind Power Forecasting. This task has practical importance for the utilization of wind energy. Participants are expected to accurately estimate the wind power supply of a wind farm.
KindXiaoming/pykan
Kolmogorov Arnold Networks
DanielCanteroNTNU/TTB-2D
Train-Track-Bridge interaction simulation tool for Matlab
MasterScrat/droneRL-workshop
📈 AMLD 2024 Reinforcement Learning Workshop
AIcrowd/droneRL-workshop
Reinforcement Learning workshop
csrhddlam/axial-deeplab
This is a PyTorch re-implementation of Axial-DeepLab (ECCV 2020 Spotlight)
lukas-blecher/LaTeX-OCR
pix2tex: Using a ViT to convert images of equations into LaTeX code.
AndreasBergmeister/graph-generation
Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"
amazon-science/co-with-gnns-example
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
cvlab-epfl/cvlab-kubernetes-guide
Instructions and utilities for use of EPFL's compute cluster.
KimMeen/Awesome-GNN4TS
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
MilesCranmer/awesome-ml-demos
Curated list of interactive ML demos
tuslkkk/tadpak
Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)
wagner-d/TimeSeAD
TorchSpatiotemporal/tsl
tsl: a PyTorch library for processing spatiotemporal data.