An attempt to build accurate models for detecting various brain diseases
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Updated
Jul 5, 2024 - Python
An attempt to build accurate models for detecting various brain diseases
Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
2D Max Pooling from NumPy
2D Convolution from NumPy
This repository contains implementations of prominent computer vision deep learning architectures. The focus is on simplifying these architectures while relying solely on the PyTorch library. The goal is to provide accessible and streamlined versions of key models in the field.
This project involves developing a Python application to classify dog breeds using pre-trained convolutional neural networks (CNNs). It utilizes models such as ResNet, AlexNet, and VGG to process input images and accurately identify the breed.
This project focuses on Neural Style Transfer (NST), a technique that applies the style of one image to the content of another image, creating a new, stylized image. NST leverages deep learning models, particularly Convolutional Neural Networks (CNNs), to extract and combine the content and style features of images.
Makeup with Deep Learning, Apply different hair color on your face! (WebApp)
World Bank commissioned Group Project | Project Finance Analysts use quantitative tools to assess potential investments. This project leverages CNNs to efficiently extract road attributes in LMICs.
Leveraging Input-Level Feature Deformation with Guided-Attention for Sulcal Labeling
基于 ResNet 的花卉分类识别系统
Official repo for the following paper: Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training (SCPT) (ECML PKDD DAMI '23)
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
ICASSP 2023: AI-enabled Medical Image Analysis Workshop and Covid-19 Diagnosis Competition (AI-MIA-COV19D): An accurate automated solution for COVID-19 diagnosis using UNet segmentation, lung extraction, and classification framework
Automatic Number Plate Recognition menggunakan algoritma YOLOv8, CNN dan Image Processing
Keras-like convenience for PyTorch
Collection of google colaboratory notebooks for fast and easy experiments
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
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