datadoubleconfirm
danbooru-tags
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| datadoubleconfirm | danbooru-tags | |
|---|---|---|
| 1 | 1 | |
| 55 | 5 | |
| - | - | |
| 4.5 | 4.1 | |
| 5 months ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
datadoubleconfirm
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Make Your Own Tourist Map
Next, I needed location data for MRT stations. These were sourced here.
danbooru-tags
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An Analysis Of Danbooru Tags and Metadata
Most of the time was spent writing code to transform the raw data so that it could be easily processed in Python. The source code for this project is in this repository.
What are some alternatives?
Data-extraction-and-text-analysis - The objective of this assignment is to extract textual data articles from the URL and perform text analysis to compute variables.
imgbrd-grabber - Very customizable imageboard/booru downloader with powerful filenaming features.
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
DeepDanbooru - AI based multi-label girl image classification system, implemented by using TensorFlow.
Openstreetmap - The Rails application that powers OpenStreetMap
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
DataScienceProjects
scCODA - A Bayesian model for compositional single-cell data analysis
PokeData - Data Scraping and Analysis of all the existing Pokemon
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.