My Jupyter notebooks in which I practice data science.
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Updated
May 11, 2024 - Jupyter Notebook
My Jupyter notebooks in which I practice data science.
Statistical Machine Intelligence & Learning Engine
The Machine Learning Module
This project focuses on the classification of electrocardiogram (ECG) signals
EvoRBF: Evolving Radial Basis Function Network by Intelligent Nature-inspired Algorithms
Monografía presentada para optar al título de Especialista en Analítica y Ciencia de Datos
autoupdate paper list
Classification of Publicly Available Datasets Using Machine Learning
🖼️ Classify images and attempt to extract data from or describe their contents using machine learning
To enhance the interaction between local governments and the communities they represent, we leveraged the power of AI to simplify the complaint management process for government entities.
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
This is an AI for determining plant species based on images created by Japanese junior high school students.
Portfolio containing projects on supervised and unsupervised learning, algorithms, as well as exploratory analysis and visualizations.
CS 171 Final Project - Machine Learning Model that can Predict News Categories Based on Content
STE/MNI HFO detection, classification and visualization
VIOLIN (Validating Interactions Of Likely Importance to the Network) is a tool used to automatically classify and judge literature-extracted interactions curated from machine readers by comparing them to existing models. This comparison can help identify key interactions for model extension.
A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science analysis tasks of imputation, classification, clustering, forecasting & anomaly detection on incomplete (irregularly-sampled) multivariate TS with NaN missing values
A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.
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