glorialulu
Data Scientist at Xylem Inc. || Active open-source developer in water networks || Water researcher || Enthusiast in IoT and smart cities
Xylem Inc.Austin
glorialulu's Stars
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
karpathy/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
tkipf/pygcn
Graph Convolutional Networks in PyTorch
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
plotly/dash-sample-apps
Open-source demos hosted on Dash Gallery
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
VeritasYin/STGCN_IJCAI-18
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
seomoz/shovel
Rake, for Python
Azure/Azure-TDSP-ProjectTemplate
TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.
jonathf/chaospy
Chaospy - Toolbox for performing uncertainty quantification.
chennnM/GCNII
PyTorch implementation of "Simple and Deep Graph Convolutional Networks"
chasmani/piecewise-regression
piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.
UCL-CCS/EasyVVUQ
Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.
sandialabs/chama
Python package for sensor placement optimization
glorialulu/TSNet
Transient simulation in water networks using MOC method.
RhysU/ar
Autoregressive process modeling tools in header-only C++
bdonon/GraphNeuralSolver
bdonon/DeepStatisticalSolvers
aabokifa/WUDESIM
A special water quality simulation module for the dead-end branches of drinking water distribution systems. The module is an add-on to the existing EPANET water quality simulation module.