Pinned Repositories
OCR-model
An easy-to-run OCR model pipeline based on CRNN and CTC loss
ReadingPipeline
Text reading pipeline that combines segmentation and OCR-models.
SEGM-model
An easy-to-run semantic segmentation model based on Unet
BMS-Molecular-Translation
Kaggle | 70th place solution for Bristol-Myers Squibb – Molecular Translation.
CNN-from-Scratch
An implementation of a convolutional network in Python using only numpy and comparing the results on MNIST with a similar torch model.
Flask-in-Docker
A simple demo of deployment using Flask inside a Docker container
OCR-model
An easy-to-run OCR model pipeline based on CRNN and CTC loss
ReadingPipeline
Text reading pipeline that combines segmentation and OCR-models.
SEGM-model
An easy-to-run semantic segmentation model based on Unet
vimrc
skalinin's Repositories
skalinin/CNN-from-Scratch
An implementation of a convolutional network in Python using only numpy and comparing the results on MNIST with a similar torch model.
skalinin/BMS-Molecular-Translation
Kaggle | 70th place solution for Bristol-Myers Squibb – Molecular Translation.
skalinin/Flask-in-Docker
A simple demo of deployment using Flask inside a Docker container
skalinin/OCR-model
An easy-to-run OCR model pipeline based on CRNN and CTC loss
skalinin/ReadingPipeline
Text reading pipeline that combines segmentation and OCR-models.
skalinin/SEGM-model
An easy-to-run semantic segmentation model based on Unet
skalinin/vimrc