lwang19-ai's Stars
maziarraissi/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
nansencenter/DA-tutorials
Tutorials on data assimilation (DA) and the EnKF
stochasticsolutions/mpi4py-pydatalondon
Code and Slides for PyData London 2022 Tutorial on MPI and Python
pytorch/hub
Submission to https://pytorch.org/hub/
curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
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.
adeshpande3/Machine-Learning-Links-And-Lessons-Learned
List of all the lessons learned, best practices, and links from my time studying machine learning
gimli-org/transform2021
Tutorials for the Transform 2021
jc-olalla/ERT_toolbox_CURE
Electrical Resistivity Tomography (ERT) toolbox for CURE project
etai83/lstm_stock_prediction
This is an LSTM stock prediction using Tensorflow with Keras on top.
polyaxon/haupt
Lineage metadata API, artifacts streams, sandbox, API, and spaces for Polyaxon
jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
neelabhpant/Deep-Learning-in-Python
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0