The Open Source Feature Store for Machine Learning
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Updated
Nov 6, 2024 - Python
The Open Source Feature Store for Machine Learning
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Algorithm for finding image duplicates and close matches. Optimized for speed to compare large amounts of images
The practical works (TP) of SD201 - Mining of Large Datasets course at Télécom Paris.
Modern semi-automatic Windows OS hardening software
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Sparse and discrete interpretability tool for neural networks
A high-spirited feature-flagging library for Python.
With ChatGPT and other language model's help, this project analyses VR application's security problem.
This plugin aims to allow the generation and classification of samples from predefined regions.
Python implementation of "Elliptic Fourier Features of a Closed Contour"
Map images to representation vectors.
Match similar image features.
Face Recognition Attendance System is an advanced solution that utilizes deep learning algorithms to accurately recognize and mark attendance based on facial recognition. It offers real-time face recognition, robustness to variations, and seamless integration. Improve attendance management with this efficient and user-friendly system.
The project offers a user-friendly app to combat driver fatigue. It utilizes a camera sensor to detect real-time drowsiness by analyzing eye aspect ratios, providing timely alerts. Users can register, personalize their experience, and receive customized detection. The intuitive interface includes a warnings page for tracking drowsiness patterns.
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