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cnn
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Your health companion on Android. Detect diseases via X-rays/MRIs, store reports securely, access educational content, join a supportive community, and chat for health info.
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Profile PyTorch models for FLOPs and parameters, helping to evaluate computational efficiency and memory usage.
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sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.
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Jun 1, 2024 - Visual Basic .NET
Exercises on Machine Learning
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This Streamlit app generates descriptive captions for images using a deep learning model. The model is a combination of a CNN (InceptionV3) for image feature extraction and a Transformer for generating captions. Users can either upload an image or provide an image URL to receive multiple predicted captions.
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Image Debanding using Inversion by Direct Iteration
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Differential Privacy (DP) is a technique for preserving the privacy of individuals in a dataset while allowing meaningful analysis of the data. The idea of the technique is to add random noise to the data in such a way that no inferences can be made about sensitive data.
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Monografía presentada para optar al título de Especialista en Analítica y Ciencia de Datos
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Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology
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Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
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Assignment DeepLearning 🍓
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Training material on ML with PyTorch by ICCS
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Accelerated pose estimation and tracking using semi-supervised convolutional networks.
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This repository showcases the exploration of Convolutional Neural Networks (CNNs). For learning the fundamentals of image classification and CNN.
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Defect detection on metal shaft surfaces using Convolutional Neural Network
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Quantum-Hybrid Convolutional Neural Network with data re-uploading
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