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This repository contains mini projects in machine learning with notebook files
This is a collection of our zero-cost NAS and efficient vision applications.
基于MobileNetV2/EfficientNet-b0/... + LSTM + CTC的不定长图像识别训练pytorch框架
Some Cool NLP and CV Repositories and Solutions (收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等)
🔥🔥🔥 Use streamlit framework to increase yolov8 front-end page interaction function
A collection of papers published in MICCAI 2024 with their code.
🕌 Urban 🚃 Sound 🚋 Classification 🚞 with ⛩ UrbanSound8K 🚁 Dataset is 🛳 a deep 🚠 learning 🚢 that ✈ classifies 🚀 urban 🛼 sound ⛱ events 🚈 the 🚂 UrbanSound8K 🚋 dataset 🏛 demonstrates 🏘 how 🧱 audio 🧸 signal 🏆 processing ⚽ neural 🏀 networks 🥎 can ⚾ power 🏐 sound 🎮 recognition 📟 systems 🔋smart 🧰 cities 💣 surveillance 🪣
Pytorch implementation of VGG16 on CIFAR-10 | 90% accuracy
A Java NLP application that identifies names, organizations, and locations in text by utilizing Hugging Face's RoBERTa NER model through the ONNX runtime and the Deep Java Library.
About An OCR-based Python system to automatically solve some Bank CAPTCHA images. Includes scraping, training a CNN with PyTorch, and serving predictions via a Flask API. Ideal for CAPTCHA automation and dataset generation.
Hyperspectral image Processing and Classification. This repository provides my solution for Project assignment for the course of Machine Learning and Computational Statistics for the MSc in Data Science at Athens University of Economics and Business.
the source code of the article A New VLAD Method with Dense SIFT Selection Application in Image Classification
Agent Mate is a highly modular, async-powered backend framework designed for seamless integration with Omi. It enables AI agents to ingest, process, and relay structured information from multiple data sources like Gmail, Notion, and more — delivering it back to Omi in the form of conversations or memories.
This is a web application built with FastApi that allows users to predict the likelihood of lung cancer based on various input features. The application utilizes a machine learning model trained on a dataset of survey responses related to lung cancer.
A real-time text classification based on Kafka and Spark.
This repository presents detection network architecture experiments of classification and localisation directly on JPEG compressed images. This project was carried out as an optional project at INSA Rouen Normandy and was supervised by Benjamin Deguerre.
Famous IRIS Dataset Classification Using Logistic_Regression
Text/non-text image crawler & classifier service. Software course project of EIC, HUST (2021 Autumn).
Sentiment Analysis Model which uses Deep Learning & Natural Language Processing to classify IMDB movie reviews
Official repository for Cholesky Space for Brain-Computer Interfaces.
The COPD doctor is a machine learning pipeline that detects whether a patient has gotten COPD by analyzing the input textual descriptions from the patient.
This project scrapes IMDb's Top 250 movies to gather extensive user reviews, stored in a CSV file for analysis. It includes a machine-learning pipeline and neural network model to classify sentiment and predict ratings from textual reviews, providing insights into audience opinions.
Classification with Clonal Selection Algorithm (CLONAX)
Leaf classification with differnt classifier algorithms
Classificação de dados usando redes neurais, usando Keras e Colab.
RestNet-50 Model using Tensorflow
CPML: Category Probability Mask Learning for Fine-Grained Visual Classification
NTU EE6227 Machine Learning Part Assignment - Classification Tree, Bayes Decision Rule and LDA
Simple machine learning model using scikit-learn
Using NLP and a smart chatbot, this project gauges customer sentiments online, offering customization and real-time feedback. Employing TF-BOW-LDA and ML models, it empowers e-commerce decisions, culminating in an NLP course at uOttawa in 2023.
Hands-on Jupyter notebooks demonstrating machine learning algorithms, including classification, anomaly detection, Naive Bayes, and support vector classification, applied to real-world datasets like breast cancer for practical learning and experimentation
A churn bank model that classify the customers if they stop dealing with the bank or not