pranaymodukuru / Concrete-compressive-strengthLinks
Concrete Compressive Strength Prediction using Machine Learning
☆24Updated 5 years ago
Alternatives and similar repositories for Concrete-compressive-strength
Users that are interested in Concrete-compressive-strength are comparing it to the libraries listed below
Sorting:
- ☆14Updated 5 years ago
- Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the co…☆23Updated 5 years ago
- In this repository, we present an Semantic Segmentation code, based on U-net architecture, that is used for the topographic characterizat…☆15Updated 4 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆69Updated 3 years ago
- ☆30Updated 2 years ago
- ☆87Updated 2 years ago
- prabh-me / Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning-CourseraThis repository contains the assignments for the Coursera course Introduction to TensorFlow for Artificial Intelligence, Machine Learning…☆48Updated 3 years ago
- code_sample☆19Updated 2 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆41Updated 3 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆140Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 6 years ago
- ☆10Updated 2 years ago
- MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning☆37Updated 3 years ago
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆23Updated 3 years ago
- Implementation of Logistic Regression, MLP, CNN, RNN & LSTM from scratch in python. Training of deep learning models for image classifica…☆96Updated 4 years ago
- EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes M…☆28Updated 2 years ago
- In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model …☆28Updated 7 years ago
- Graph neural networks for stress and strain fields prediction☆52Updated 2 years ago
- ☆14Updated 3 years ago
- ☆21Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- PINN for obtaining WSS from sparse data☆67Updated last year
- ☆13Updated 3 years ago
- Contains implementation of PINN using Tensorflow 2.4.0☆14Updated 2 years ago
- A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis☆28Updated 7 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆93Updated last year
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆49Updated 5 months ago
- GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and fu…☆20Updated 2 years ago
- Classification of Breast Cancer diagnosis Using Support Vector Machines☆257Updated 2 years ago