Transformer-based online speech recognition system with TensorFlow 2
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Updated
Jan 22, 2021 - Python
Transformer-based online speech recognition system with TensorFlow 2
This is a repository for the tutorial materials in machine learning (COMP4211) in HKUST.
Recommendation System Using three different approaches Simple Recommendation Using Content based( TF-IDF & Bag of words ), Using KNN and Collaborative Filtering (Item-Item). Explanation:https://www.youtube.com/watch?v=lapsqCrSwCo
Practice/Notes of Machine Learning
Video Background Eraser
Repositório com alguns algoritmos implementados
A data-driven analysis of movie success factors, including genre popularity, production company performance, language trends, and financial success. This project explores influences on a movie’s ratings, popularity, and revenue through feature engineering, data preprocessing, and visualizations.
This is Our approch for the kaggle Competition for OSIC Pulmonary Fibrosis Progression
A machine learning framework for prediction, optimization, and anomaly detection in DED trace geometrical features using various ML/DL models.
Model to Predict the status of a genetic biomarker important for brain cancer treatment
This repository presents a gemstone classification project employing Transfer Learning with MobileNetV2, processing a dataset comprising 3200+ images spanning 87 classes. TensorFlow and Keras facilitated data preprocessing, augmentation, and model training. Through fine-tuning and leveraging pre-trained features.
This repo contains the solution to the Sparks Foundation Internship problem.
Asignaturas del Grado en Ingeniería Informática de la Universidad de Granada (UGR).
Pulsar Star Prediction .ML,Pytorch
Assignment
🌸 ML Project integrated with GitHub Actions for CI/CD. It automates testing and deployment, ensuring a streamlined and efficient workflow.
Validation of the NN-based PF photon ID for forward photons in the Run3Summer23 campaign (CMS).
🎓 Collection of academic resources, projects, and exercises related to artificial intelligence concepts learned in university coursework.
Sentiment Analysis pipeline with SKLearn, Metaflow, AWS and GitHub CI
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