Implementation of RIFT-SVC, a singing voice conversion model based on Rectified Flow Transformer.
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Updated
Jan 21, 2025 - Python
Implementation of RIFT-SVC, a singing voice conversion model based on Rectified Flow Transformer.
Compare SVM mode yoga movement classification accuracy with Linear kernel, Polynomial kernel, RBF (Radial Basis Function) kernel, LSTM with accuracy up to 98%. In addition, it also supports adjusting the practitioner's movements according to standard movements.
Predicts Forsyth–Edwards Chess Notation from a chess board image, using a C-SVC model
A classification problem for monochrome images solved using different machine learning methods (Naive Bayes, KNN, SVC, Neural Network, Convolution Neural Network).
In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.
Backend server for the Wine Quality Predictor.
This project aims to predict if a cancer diagnosis is benign or malignant using Support Vector Machine (SVM) model. The model utilizes several features related to cancer cells to make predictions.
Logistic Regression Classifier; MVC Classifier; Logistic regression Classifier with Squared x parameters
Malware_detection_all_classifiers(with proper docstrings).
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