pranaymodukuru / Concrete-compressive-strengthLinks
Concrete Compressive Strength Prediction using Machine Learning
☆27Updated 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 6 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
- code_sample☆19Updated 2 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆41Updated 3 years ago
- Undergraduate Research Project☆36Updated 7 years ago
- ☆30Updated 3 years ago
- Genetic Algorithm for Neural Network Architecture and Hyperparameter Optimization and Neural Network Weight Optimization with Genetic Alg…☆13Updated 6 years ago
- ☆10Updated 2 years ago
- A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis☆27Updated 7 years ago
- Files used in my Youtube tutorials☆32Updated 4 years ago
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆25Updated 3 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 4 years ago
- EP-PINNs implementation for 1D and 2D forward and inverse solvers for the Aliev-Panfilov cardiac electrophysiology model. Also includes M…☆32Updated 3 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆30Updated 6 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆72Updated 3 years ago
- In this repository, we present an Semantic Segmentation code, based on U-net architecture, that is used for the topographic characterizat…☆16Updated 4 years ago
- Different methods of solving partial differential equations with neural networks☆18Updated 4 years ago
- I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.☆17Updated 4 years ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- Code for the paper "A physics-informed neural network framework for laminated composite plates under bending"☆15Updated 11 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 5 years ago
- ☆19Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆60Updated 5 years ago
- All the code available to reproduce the paper "Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the…☆13Updated 6 years ago
- The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoen…☆54Updated 3 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆144Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆28Updated 4 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Hidden Fluid Mechanics in PyTorch☆20Updated 2 years ago
- ☆44Updated 3 years ago