Segmentation_tutorial
by Bekovmi
Transfer catalyst from jupiter API to Config API
AI summary
Model Training Script
A tutorial project on teaching model training scripts using Config API Catalyst
- stars
- 8
- forks
- 1
- watching
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Segmentation model trainer
An example project demonstrating the use of Catalyst for training segmentation models from Inria Satellite Segmentation Challenge data.
Segmentation Toolkit
A tool for defining and running machine learning experiments for image segmentation in Python.
Language model trainer
Develops a method for pre-training language understanding models by combining masked and permuted techniques, and provides code for implementation and fine-tuning.
Machine Learning Tutorial
A tutorial on applying machine learning to practical situations using the scikit-learn library
Segmentation model
A pre-trained convolutional neural network model for image segmentation tasks.
Segmentation pipeline
A deep learning-based semantic segmentation pipeline using the Catalyst framework.
Segmentation model
An implementation of the ENet model for semantic segmentation in images, trained on the Cityscapes dataset.
Segmentation project
A script for preparing datasets and training a VGG16-based segmentation model on the Cityscapes dataset
Machine Learning Tutorial
Tutorials and materials for learning machine learning with Python using popular libraries like scikit-learn.
Segmentation model
A PyTorch implementation of a segmentation network architecture
Model learner
Develops an approach to learning probabilistic models in stochastic optimization problems
Segmentation toolkit
A PyTorch-based toolbox for building and training semantic segmentation models
Python tutorial
A collection of resources and tutorials for learning the Python programming language
Robot learner
An implementation of a general-purpose robot learning model using multimodal prompts
ML automator
Automates machine learning model training using pre-set configurations and modular design.