Pinned Repositories
Flask_deployment_of_object_detection_pytorch_NN
Deployment of a pretrained neural network for object detection using Flask
Image_segmentation_Tensorflow_UNet
Training UNet for cigarette butts detection using TenorFlow framework
Interactive_style_transfer_from_two_images_PyTorch
Transfer style from two different images with different weights onto a content image
Melanoma_segmentation-PyTorch_UNet_SegNet
PyTorch implementation of U-Net and SegNet segmentation models for detecting melanoma, along with pre-trained models and utility functions for evaluation.
RosettaFoldNA_output_analysis
Analysis of RoseTTAFold2NA structure predictions to understand whether it can be used to determine the spacing and/or orientation preferences of transcription factors
Simpsons_classification_with_ensembles_of_models
Automation of model training and ensemble creation for making predictions in a Kaggle competition submission.
TimeSeries_Forecaster_with_LSTM_and_CNN_TensorFlow
Leveraging TensorFlow, this project enables time series forecasting using adjustable LSTM and CNN models for optimized performance.
i-l-sokolov's Repositories
i-l-sokolov/Melanoma_segmentation-PyTorch_UNet_SegNet
PyTorch implementation of U-Net and SegNet segmentation models for detecting melanoma, along with pre-trained models and utility functions for evaluation.
i-l-sokolov/Image_segmentation_Tensorflow_UNet
Training UNet for cigarette butts detection using TenorFlow framework
i-l-sokolov/Flask_deployment_of_object_detection_pytorch_NN
Deployment of a pretrained neural network for object detection using Flask
i-l-sokolov/Interactive_style_transfer_from_two_images_PyTorch
Transfer style from two different images with different weights onto a content image
i-l-sokolov/RosettaFoldNA_output_analysis
Analysis of RoseTTAFold2NA structure predictions to understand whether it can be used to determine the spacing and/or orientation preferences of transcription factors
i-l-sokolov/Simpsons_classification_with_ensembles_of_models
Automation of model training and ensemble creation for making predictions in a Kaggle competition submission.
i-l-sokolov/TimeSeries_Forecaster_with_LSTM_and_CNN_TensorFlow
Leveraging TensorFlow, this project enables time series forecasting using adjustable LSTM and CNN models for optimized performance.