neuro
Brain Segmentation Pipeline
A 3D brain segmentation pipeline using Python and the Catalyst framework.
Catalyst.Neuro
19 stars
6 watching
6 forks
Language: Python
last commit: almost 3 years agoRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ternaus/iglovikov_segmentation | A deep learning-based semantic segmentation pipeline using the Catalyst framework. | 20 |
 bloodaxe/catalyst-inria-segmentation-example | An example project demonstrating the use of Catalyst for training segmentation models from Inria Satellite Segmentation Challenge data. | 45 |
 catalystneuro/ndx-simulation-output | An extension for large-scale simulation data in neurophysiology research | 4 |
 nvidia/semantic-segmentation | Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,787 |
| catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
 curiosity-ai/catalyst | A C# Natural Language Processing library with pre-trained models and tools for building custom models | 752 |
 mateuszbuda/brain-segmentation-pytorch | A PyTorch implementation of the U-Net architecture for brain MRI segmentation using pre-trained weights and a specific deep learning algorithm | 730 |
 neuraxio/neuraxle | A machine learning pipeline library that enables the creation of modular and reusable data processing workflows | 610 |
 brainglobe/brainreg | Automated 3D brain registration software for aligning template brains to sample images. | 124 |
 nv-tlabs/gscnn | This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
| catalyst-team/alchemy | Provides tools and infrastructure to log and visualize experiments in deep learning research | 50 |
| brainglobe/brainrender | A Python package to visualize neuroanatomical data in 3D | 553 |
 combust/mleap | Enables deployment of machine learning pipelines from Spark and Scikit-Learn to production | 1,506 |
 drorlab/atom3d | Enables machine learning on three-dimensional molecular structure by providing tools and datasets for working with 3D molecular data | 303 |
 musket-ml/segmentation_training_pipeline | A tool for defining and running machine learning experiments for image segmentation in Python. | 53 |