Tim-Haas / BubCNNLinks
BubCNN is a bubble detection system which employs a pretrained Faster RCNN module to locate bubbles and a pretrained shape regression CNN module to approximate the bubble shape by an ellipse.
☆32Updated 4 years ago
Alternatives and similar repositories for BubCNN
Users that are interested in BubCNN are comparing it to the libraries listed below
Sorting:
- Process Piping and Instrumentation Diagram (PI&D) images to extract relevant data☆13Updated 3 years ago
- The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.☆23Updated 2 years ago
- Bubble Generative Adversarial Networks (BubGAN) Tool for Bubbly Flow Synthesis☆24Updated 6 years ago
- This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"☆10Updated 3 years ago
- Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow☆50Updated last year
- Digital twin for structural dynamics applications☆26Updated 4 years ago
- This repository contains exercises that demonstrate how to automate these unit operations using DWSim. These exercises include code examp…☆16Updated 6 months ago
- Modeling and Simulation of Multicomponent Distillation Columns☆34Updated last year
- A curated list of Additive Manufacturing literature, research papers, and presentations that are publicly available and related to Laser …☆32Updated 4 years ago
- Python package for analyzing and representing droplets and emulsions☆12Updated last week
- Abstract layer over Aspen HYSYS using Python☆15Updated 4 months ago
- Python library for simulating heat transfer processes☆90Updated 2 months ago
- An iterative machine learning framework for predicting temperature profiles for an additive manufacturing process☆37Updated 4 years ago
- Using adversarial training to improve forecasts of data-driven surrogate models☆19Updated 4 years ago
- Hybrid Modeling Framework☆26Updated 2 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆64Updated 3 years ago
- Deep reinforcement learning for design of distillation column trains (chemical engineering process synthesis)☆39Updated 4 years ago
- ☆34Updated 3 years ago
- Code for MAE 423 Heat Transfer (Fall 2019-20).☆16Updated 5 years ago
- ☆11Updated 2 years ago
- LSTM_MPC(reactive distillation system)☆11Updated 5 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆34Updated 4 years ago
- Neural network for Lithium-ion battery in nanoCT images. For now, only the segmentation module is included.☆34Updated 5 years ago
- A Python interface to the original Fortran program of the Tennessee Eastman Process (TEP) Control Test Problem☆14Updated 4 years ago
- Introduction to Python for Chemical Engineers☆22Updated 2 years ago
- This is a Python package for AspenPlus manipulating.☆44Updated 6 years ago
- Physics informed Bayesian network + autoencoder for matching process / variable / performance in solar cells.☆32Updated 4 years ago
- Flexible function solvers☆19Updated last month
- pyTEP is an open-source simulation API for the Tennessee Eastman process in Python. It facilitates the setup of complex simulation scenar…☆30Updated 3 years ago
- Metallography Dataset from Additive Manufacturing☆33Updated 4 years ago