glenngara / tutorialsLinks
This repository contains Machine Learning tutorials using Jupyter notebooks.
☆10Updated 5 years ago
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling☆24Updated 6 years ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆34Updated 4 years ago
- Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data …☆51Updated 4 years ago
- A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout☆10Updated 5 years ago
- ☆11Updated 2 years ago
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Updated 4 years ago
- Python implementation of the capacitance resistance model☆16Updated 5 years ago
- Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Awa…☆15Updated 4 years ago
- Multi-task physics-informed neural networks☆25Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders☆79Updated 3 years ago
- keras-regression-cnns☆11Updated 6 years ago
- This repository gives the codes for numerical solver independent seismic wave simulation using Task-decomposed Physics-informed Neural Ne…☆21Updated 2 years ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆114Updated 4 years ago
- In this study, we explore various Machine Learning (ML) methods that could potentially predict the downhole pressure data, which traditio…☆17Updated 4 years ago
- Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations☆21Updated last year
- CCSNet: a deep learning modeling suite for CO2 storage☆27Updated last year
- Deep Learning for Structural Health monitoring☆20Updated last year
- Anudruti / Predictive-Failure-Analysis-of-Spindle-Motor-Cutting-Oil-Condition-Monitoring-of-Grinding-Machine-With the advent of Industry 4.0, manufacturing industries are competing to adopt intelligent machining systems into their processes to ge…☆13Updated 5 years ago
- Our Load Forecasting using LSSVM tuned by IGWO. Paper coming soo.. welp, looks like no paper for this one guys.☆10Updated 2 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆23Updated 9 months ago
- ☆40Updated 2 years ago
- Deep LSTM for highly nonlinear system modeling☆57Updated 6 years ago
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆13Updated 2 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆19Updated last year
- For sequence-to-sequence beginners. PyTorch-implemented 1DCNN, LSTM, Attention, and Transformers.☆21Updated 6 months ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆32Updated 3 years ago
- Deep autoregressive neural networks for high-dimensional inverse problems☆20Updated 6 years ago
- IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine☆20Updated 8 months ago