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A Non-Autoregressive Transformer based Text-to-Speech, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS
Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation
Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"
Node wrapper around FastText Library
Use Python and NLTK to build out your own text classifiers and solve common NLP problems
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
Python Project
Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍
An open-source hyperspectral unmixing python package
Python-based toolkit for building and evaluating a transformer-based FAQ retrieval system
Flipper: Reproducing the FLIP protein benchmark results.
Machine Learning Projects --- This Repository contains the list of various Machine related projects. Related code and data files are available inside this folder. One can go through these projects to implement them in real life for specific use cases.
Based on the Udemy Course "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]"
Moodle - the world's open source learning platform designed to provide educators, administrators and learners with a single robust, secure and integrated system to create personalized learning environments.
A Machine Learning project which will help us to predict the number of clicks on a particular ad on the websites.
MLpronto is a tool for rapid, robust, and reproducible machine learning. No ML background is needed whatsoever.
This project contains code and explanation behind the code for detecting 15# facial keypoints for a given face image (Kaggle dataset) using Multi Layer Perceptron in Julia.
artifical neural network (ann) supervised learning javascript library and 2d game example
IoMT Synthetic Cardiac Arrest Dataset for eHealth with AI-based Validation
In this 11 project series, we will explore Data Science concepts using different Kaggle datasets.
A basic DDoS attack classifier
Deep Learning sample code
Prediction of schizophrenia with NGram Tracing and Word Graph Analysis (exploratory school project, 15 ECTS).
Prediction of car price using machine learning model XGBoost.
This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.
Welcome to my machine learning journey repository! 🚀 Here, I document my learning ML experiences, projects, and insights as I progress through my B.Sc. CSIT program at Tribhuvan University, Nepal. Explore various machine learning algorithms and models, including supervised, unsupervised, and reinforcement learning.
Repositori ini berisi dua project analisis data menggunakan metodologi CRISP-DM. Project pertama meneliti tren penjualan Walmart dengan Supervised analysis menggunakan algoritma Naive Bayes Gaussian dan K-Nearest Neighbors. Project kedua mengeksplorasi faktor sosio-ekonomi antar negara dengan Unsupervised analysis.
This project to determine customer satisfaction towards hotel in Europe continent.
Heart Risk Level Predicting Regression Model :broken_heart:
A supervised, highly compact Raspberry Pi Compute Module 4 carrier board and case.
Machine Learning Project
Deploying the heart risk level predicting Regression model in a web application using Flask :white_flower:
A program that trains and test an ML model then deploys the model on a webpage using Streamlit