Segmentation of brain tumors from MRI images using ResNet and ResUNet, the idea of implementing residual blocks and reducing gradient fading.
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Updated
Aug 18, 2021 - Jupyter Notebook
Segmentation of brain tumors from MRI images using ResNet and ResUNet, the idea of implementing residual blocks and reducing gradient fading.
Neural Networks for predicting diabetes from Fingerprints.
Residual learning: A new paradigm to improve deep learning-based segmentation of the left ventricle in magnetic resonance imaging cardiac images
Detection of 15 Key Facial Points Using Residual Neural Networks.
Deep Neural Networks for music genre classification as a proxy for multiple analytical studies
Fraud detection via residual neural network. (+ DVC)
Deep Spatio-Temporal Residual Networks for Mobile Location Data Prediction (instead of original Crowd Flow Prediction) - Modified ST-ResNet
Retrieving product information from real-world image using GAN improved by residual networks.
Source code of my "Object classification with artificial neural networks: A comparative analysis" paper and used scripts.
NLP methods is practiced including GPT, Machine-translation, Q&A models
Robo-Chess, a comprehensive repository dedicated to developing chess engines using a variety of Deep Reinforcement Learning techniques
Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.
Uses pediatric x-rays and data to build a classification model that can predict whether or not a patient has pneumonia.
Pokemon Classification Contest
Residual Neural Network Object Detector written for Pycocotool's library. Model implements custom skip block connections and uses a custom dataset loader for image classification object detection.
Keras Functional API implementation of the 50-layer residual neural network (ResNet-50) and its application to sign language digit recognition
ChurnNet: Deep Learning Enhanced Customer Churn Prediction in Telecommunication Industry
Official implementation for "Detecting plant invasion in urban parks with aerial image time series and residual neural network" published in remote sensing journal
This is a model for detecting the crop disease detection using ResNet50. The dataset images are annoted in Roboflow and called in the program through it's api.
Программы по дисциплине "Современные методы глубокого машинного обучения" 6 семестра ФИТ НГУ
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