NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-25 00:18:02 UTC
- JSON Representation
https://github.com/yhunlu/data-analysis
Data Analysis
matplotlib numpy pandas seaborn
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https://github.com/ralfkeo/detection-de-faux-billets-avec-python
OpenClassrooms parcours Data Analyst Projet 12
matplotlib-pyplot numpy pandas pickle plotly prediction-model python scipy seaborn sklearn
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https://github.com/alyssonmach/machine-learning-com-python
Aplicações de Machine Learning usando a linguagem de programação Python.
ia keras-tensorflow machine-learning matplotlib numpy pandas programming python scikit-learn scipy
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With Earth’s habitability under strain, we ask: which known exoplanets could humans live on? Using NASA’s Exoplanet Archive, we score planets 0–1 (1 ≈ Earth) from five Earth-normalized features to rank top candidates.
data html kaggle matplotlib-pyplot numpy pandas plotly python seaborn visualization
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https://github.com/ashishsingh789/traffic_accident_analysis
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excel matplotlib numpy pandas pandas-dataframe python seborn
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Python Astronomical Data Analysis and Visualization.
astropy astroquery matplotlib numpy pandas pyplot python requests requests-library-python sckit-image seaborn
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https://github.com/anibalalpizar/python-machine-learning-example
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https://github.com/jminjares4/selected-areas-in-networks
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https://github.com/rakibhhridoy/differentprojects
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data-science deep-learning machine-learning mathematics matplotlib numpy pandas python scikit-learn seaborn statistics
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https://github.com/amnydv17/landmark-detection
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machine-learning matplotlib numpy pandas python3 scikit-learn seaborn tensorflow
Last synced: 11 Apr 2026
https://github.com/shubhamahobia/lstm-hamlet
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deep-learning github hamlet lstm lstm-neural-network lstm-neural-networks machine-learning neural-network nltk numpy pandas pickle python
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https://gitlab.com/DLR-SY/beos
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https://github.com/pranavsuriya-sr/e-hub_energysystems
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css energy-systems-analysis html javascript matplotlib numpy python schemdraw streamlit
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https://github.com/adi3042/credit-card-fault-detection
🔍💳 Secure Your Finances! Detect anomalies and safeguard transactions with our Credit Card Fault Detection system. Dive into cutting-edge classification techniques to identify fraud and protect financial data. Your journey to secure payments starts here! 🚨🔒 FraudDetectionTech
classification credit-card css datetime fault-detection flask functools html ipykernel jupyternotebooks machine-learning numpy pandas python3 readme scikit-learn setuptools venv
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https://github.com/sarincr/training-on-artificial-intelligence
Entree Academy 10 Days free training on Artificial Intelligence. Course will be conducted in a Blended learning way with Daily one hour online training and 3 hour project based training
artificial-intelligence artificial-intelligence-algorithms data-analysis data-science data-visualization decision-trees deep-learning deeplearning logistic-regression machine-learning machine-learning-algorithms machinelearning num numpy pandas regression scikit-learn scipy sklearn
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https://github.com/amruta33/melanoma-detection
To build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.
keras machine-learning numpy pandas python3 sckiit-learn tensorflow
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https://github.com/chirindaopensource/search_benford_law_compatibility
End-to-End Python scalable forensic accounting toolkit implementing Benford's Law analysis for FTSE financial data. Delivers automated anomaly detection with Chi-Squared/MAD testing, comprehensive validation pipelines, and risk-based prioritization of investigative resources. Replicates Ausloos et al.'s (2025) methodology with full reproducibility.
academic-research anomaly-detection benfords-law chi-squared-test data-validation econometrics financial-analysis financial-data forensic-accounting fraud-detection ftse goodness-of-fit jupyter-notebook numpy pandas python reproducible-research risk-management scipy statistical-testing
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https://github.com/amiriiw/text_classification
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https://github.com/abdullahashfaqvirk/SMS-Spam-Detection
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https://github.com/lfgodoi/rpm-deep-estimator
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https://github.com/vyjayanthipolapragada/fraud_detection_creditcard
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In the conventional hiring process, candidate applications are met with limited assessment, leaving the crucial task of evaluating suitability to recruiters. ZKConnect disrupts this norm by introducing a transformative approach.
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Real-time hand gesture recognition using computer vision and deep learning. Collect gesture images, train a model with Google Teachable Machine, and classify gestures live for applications like drone control or human-computer interaction.
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