Ecommerce analysis from various dimensionals
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Updated
Jun 5, 2024 - Python
Ecommerce analysis from various dimensionals
Statistical Machine Intelligence & Learning Engine
An AI cat breed image classifier built using TensorFlow and Keras
autoupdate paper list
In this work, an automatic and reproducible methodology is proposed using computer vision techniques for sorting oranges by size and defects. Master thesis written in Spanish.
Build a Web App called AI-Powered Health Risk Assessment App
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Valor is a centralized evaluation store which makes it easy to measure, explore, and rank model performance.
This project uses different methods to classify clusters of stocks on the S&P 500
This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.
This repository contains code for implementing non-linear models for classification and regression tasks.
This is the repository for the CTCB project
ToolChain using Symbolic Execution for Malware Analysis.
TaxTriage is a Nextflow workflow designed to agnostically identify and classify microbial organisms within short- or long-read metagenomic NGS data. This flexible tool was developed with various use-cases of mNGS in mind.
Palladian is a Java-based toolkit with functionality for text processing, classification, information extraction, and data retrieval from the Web.
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
pH Level Forecasting of Well Water Samples in Malawi, Conducted by Leeds Beckett University
Neste projeto, estarei usando o conjunto de dados br-coins(https://www.kaggle.com/datasets/lgmoneda/br-coins) para criar um modelo de Rede Neural Convolucional (CNN) para classificação de imagens. O objetivo é prever com precisão a denominação das moedas brasileiras com base nas imagens.
We have performed a multi-class classification task of literary poems, which will be assigned to a period. Raw data has been collected from the web and processed the in order to apply Natural Language Processing and Machine Learning tools, such as feature extraction and selection, topic modeling, text preprocessing and classification
Remote Sensing and GIS Software Library; python module tools for processing spatial data.
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