Showing results for Learning Vector Art
GitHub Repo
https://github.com/kssr1345/Qunatum-tranfer-learning-for-diabetic-rethinpathy
kssr1345/Qunatum-tranfer-learning-for-diabetic-rethinpathy
India is on track to become the world’s diabetes capital thus demanding accurate diagnosis of Diabetic retinopathy from optical coherence tomography (OCT) retinal images. Accurate and faster diagnosis is difficult as it depends on quality of image, operator handling and also the growing number of patients. In this paper we propose the use of quantum transfer learning model to accomplish diagnosis of Diabetic Retinopathy. Quantum Transfer Learning (QTL), is a hybrid combination of classical transfer learning and quantum computing. Unlike classical computers, quantum computers provide faster computation and better accuracy. The concept of QTL is mainly used where the dataset size is limited. The QTL model, diagnostically significant image features are extracted with Resnet18 Convolutional Neural NEtwork (CNN) model, which is reduced to 4-bit feature vector to be encoded as qubit and is finally classified by utilizing Variational Quantum Circuit (VQC). The proposed model gave a better accuracy than existing state of the art methods in terms of high accuracy despite with a smaller set of images in the training phase.
GitHub Repo
https://github.com/Harshakavin/article-classification-SVM-ML
Harshakavin/article-classification-SVM-ML
support vector machines are supervised learning models with associated learning algorithms that analyze data used for classification.
GitHub Repo
https://github.com/iliodipietro/Machine-Learning-and-Artificial-Intelligence-KNN-and-SVM
iliodipietro/Machine-Learning-and-Artificial-Intelligence-KNN-and-SVM
K-Nearest Neighbors (KNN) and Support Vector Machines (SVMs). Machine Learning and Artificial Intelligence course @ Politecnico di Torino.
GitHub Repo
https://github.com/Aman1605/Fake_News_Article_Detection
Aman1605/Fake_News_Article_Detection
Fake news prediction using Machine Learning algorithms. The text is first preprocessed and transformed as a vector. Then, the vector is feeded to the trained model to be classified.
GitHub Repo
https://github.com/eyalfish/ARTOVeQ
eyalfish/ARTOVeQ
Adaptive Rate Task-Oriented Vector Quantization (ARTOVeQ), a learned compression mechanism that is tailored for remote inference over dynamic links. ARTOVeQ is based on designing nested codebooks along with a learning algorithm based on progressive learning.
GitHub Repo
https://github.com/JiashiSong/Artificial-Intelligence
JiashiSong/Artificial-Intelligence
The topics may include: AI methodology and fundamentals; intelligent agents; search algorithms; game playing; supervised and unsupervised learning; decision tree learning; neural networks; nearest neighbour methods; dimensionality reduction; clustering; kernel machines; support vector machines; uncertainty and probability theory; probabilistic reasoning in AI; Bayesian networks; statistical learning; fuzzy logic.
GitHub Repo
https://github.com/Dev-Zisko/GradientDescentArtifialIntelligence-Apr14-2020
Dev-Zisko/GradientDescentArtifialIntelligence-Apr14-2020
Program that performs gradient descent with partial derivatives to optimize vectors. Technologies and languages used: Jupyter and Python Own learning.
GitHub Repo
https://github.com/hyper07/Deep-Learning-LLM-Wounded-Treatment
hyper07/Deep-Learning-LLM-Wounded-Treatment
This project is a Deep Learning-based Medical Imaging Platform designed to assist clinicians and researchers in analyzing wound images. It combines state-of-the-art Convolutional Neural Networks (CNNs) for multi-class classification with Vector Similarity Search to retrieve visually similar historical cases.
GitHub Repo
https://github.com/Jaisonbabu/Artificial-Intelligence
Jaisonbabu/Artificial-Intelligence
A machine-learning application for short term day trading with prediction governed by linear Support Vector Machine (SVM) in python using scikit learn
GitHub Repo
https://github.com/code-in-medellin/blog_ddos-article