rainwaint

rainwaint

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Yandex_Practicum_DataScience

Проекты из Яндекс Практикума "Специалист по Data Science"

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Yandex-Data-Analysis

Репозиторий учебных проектов из Яндекс Практикум "Аналитик данных"

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shad-prep

Repo for https://t.me/shad_prep

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School21-Golang-Piscine

Mad intensive course from Moscow campus of intra42

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Chest-X-Ray-Image_Segmentation_ResUNet

Lung segmentation for chest X-Ray images with ResUNet and UNet. In addition, feature extraction and tuberculosis cases diagnosis had developed.

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Pytorch_Segnet_DeepLabV3

This notebook is a tutorial for image semantic segmentation using Segnet and DeepLabv3 in Pytorch . Its a starter code as a part of Severstal Steel Detection https://www.kaggle.com/c/severstal-steel-defect-detection in Kaggle .

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Image-Segmantation-usingUnet

I segmented the image containing people and found that U-Net is one of the best tool for segmentation of images. Unet is an improvement of the CNN model which specializes in image segmentation

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Neural-network_1

Нейронные сети_1

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machine_learning_end_to_end

Notebooks on CNN(classification, transfer learning, image segmentation) / BERT / RNN(LSTM and GRU) / CBOW/ ANN / Classical ML(hyperparameter tuning/ classification)

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crf-rnn-network

Сегментация изображений с помощью сети crf-rnn

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Recurrent-Neural-Network-PyTorch

This repository contains a Jupyter Notebook showcasing the implementation of a Recurrent Neural Network (RNN) using PyTorch for image classification.

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School-21

The first month of studying at School 21 / Бассейн Школы 21

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MedicalReportGeneration

A Base Tensorflow Project for Medical Report Generation

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django_documentation

Russian translation of Django documentation

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Zero-Learning-Fast-Medical-Image-Fusion

An OpenCV and Pytorch implementation of Zero-Learning-Fast-Medical-Image-Fusion

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medical_Image_OpenCV

using OpenCV to deal with medical images

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Medical_Segmentation

3D modeling of the aortic arch, based on medical images ; for preoperative planning assistance in interventional neurology (Python, Qt, OpenCv, VTK).

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Digital-Image-Processing-for-Medical-Applications

Challenge Project In Ecole Centrale Casablanca - Learning by doing

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Medical-Image-Segmentation-DL

Implemented Unet++ models for medical image segmentation to detect and classify colorectal polyps.

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stocks_rnn

Stock price prediction with LSTMs in TensorFlow

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UNet-CRF-RNN

Edge-aware U-Net with CRF-RNN layer for Medical Image Segmentation

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CM2003-Deep-Learning-Methods-for-Medical-Image-Analysis.

The course is offered by KTH in Autumn semester and and focuses on Medical image segmentation using CNN and hands-on section with TensorFlow, ,medical image classification using CNN and hands-on section with TensorFlow, medical image analysis using RNN and hands-on section with TensorFlow

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medical_image_segmentation

Medical Image Segmentation using CNNs and RNNs, especially U-Net, RU-Net and R2U-Net

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cnn-cell-counting

A machine learning model using CNN to count number of cells in a medical image

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Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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rl-medical

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

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Reinforcement-Learning-Notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

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Reinforcement_Learning_for_Stock_Prediction

This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube

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