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GitHub topics: machine-learning-analysis

uio-bmi/immuneML

immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.

Language: Python - Size: 197 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 68 - Forks: 30

rohancodestack/C19-Health-Insights-USA

A data-driven platform leveraging advanced visualizations—heatmaps, geo-mapping, and time-series graphs—to analyze COVID-19 trends, vaccination metrics, and demographic impacts for actionable insights.

Language: Python - Size: 1000 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Romain-Laine/MiLeSIM

This code performs the particle detection, classification (Machine Learning analysis) and structural analysis of virus imaging dataset as described in our manuscript.

Language: Matlab - Size: 74.2 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 1

speediedan/deep_classiflie

Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model deems most likely to be labeled falsehoods, the @DeepClassiflie twitter bot tweets out a statement analysis and model interpretation "report"

Language: Python - Size: 204 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

justincpresley/softsec 📦

An archive repository that holds all projects formed in the masters-level Software and Systems Security course (CSC-5585) at TTU.

Language: Python - Size: 3.38 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

NewGround-LLC/psistats

Applying Deep Machine Learning for psycho-demographic profiling of Internet users using O.C.E.A.N. model of personality.

Language: R - Size: 4.71 MB - Last synced at: over 2 years ago - Pushed at: about 8 years ago - Stars: 15 - Forks: 3

Nirzak/PhishDetector-Model-Evaluation

Language: Jupyter Notebook - Size: 1.14 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

sarvesh4396/ML-projects

Machine learning projects

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

speediedan/deep_classiflie_db

Deep_classiflie_db is the backend data system for managing Deep Classiflie metadata, analyzing Deep Classiflie intermediate datasets and orchestrating Deep Classiflie model training pipelines. Deep_classiflie_db includes data scraping modules for the initial model data sources. Deep Classiflie depends upon deep_classiflie_db for much of its analytical and dataset generation functionality but the data system is currently maintained as a separate repository here to maximize architectural flexibility. Depending on how Deep Classiflie evolves (e.g. as it supports distributed data stores etc.), it may make more sense to integrate deep_classiflie_db back into deep_classiflie. Currently, deep_classiflie_db releases are synchronized to deep_classiflie releases. To learn more, visit deepclassiflie.org.

Language: Jupyter Notebook - Size: 14.3 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

jacksoncook/mlAnalysis

Analytical papers written for my machine learning course.

Size: 2.28 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0