ashutoshraj / Dynamic-UnetLinks
This project is the implementation of Dynamic U-Net architecture on Caravan Mask Challenge Dataset. A state of the art technique that has won many Kaggle competitions and is widely used in industry. Image segmentation models allow us to precisely classify every part of an image, right down to pixel level.
☆9Updated 6 years ago
Alternatives and similar repositories for Dynamic-Unet
Users that are interested in Dynamic-Unet are comparing it to the libraries listed below
Sorting:
- Source code for Youtube tutorial series on chest X-ray auto diagnosis☆13Updated 4 years ago
- Additional functionality for use with fastai’s medical imaging module☆15Updated 3 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago
- 1st place solution for CGIAR Wheat Growth Stage Challenge☆54Updated 4 years ago
- ☆34Updated 4 years ago
- The repository provides usefull python scripts for ML and data analysis☆178Updated 10 months ago
- Deep learning based solution to automatically analyze medical images for malaria testing☆14Updated 6 years ago
- An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")☆38Updated 2 years ago
- My experiments and progress within various fastai applications☆56Updated 5 years ago
- Review materials for the TWiML Study Group. Contains annotated versions of the original Jupyter noteboooks (look for names like *_jcat.ip…☆26Updated 5 years ago
- Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets☆21Updated 3 months ago
- Regression in Convolutional Neural Network applied to Plant Leaf Count☆19Updated 2 years ago
- Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna☆30Updated 5 years ago
- My fastai blog☆20Updated last year
- Kaggle Segmentation Challenge☆15Updated 5 years ago
- fun with satellite images of cities☆41Updated 6 years ago
- Various Kaggle image classification challenges solutions☆41Updated last month
- My personal blog which a special place for my brain dump.☆48Updated last year
- Colab (Jupyter) notebook to train Object Detection model with custom dataset, based on Fizyr implementation of RetinaNet in Keras.☆40Updated 5 years ago
- Utilities for simple needs☆27Updated last month
- A collection of 100 Deep Learning images and visualizations☆79Updated 4 years ago
- Time series feature extraction for Supervised Learning Modeling☆48Updated 4 years ago
- Practical Deep Learning resources for Time series analysis and forecasting☆85Updated 3 years ago
- Repo for work on deep learning for tabular data☆15Updated 5 years ago
- Code you can use jointly with fastai☆93Updated 4 years ago
- Host for https://walkwithfastai.com☆146Updated last year
- ☆12Updated 5 years ago
- Official repository for the "Identifying trees on satellite images" challenge from Omdena <> Ciencia & Datos☆30Updated 6 years ago
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆40Updated 5 years ago
- Material for my run of Fast.AI☆57Updated 4 years ago