deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
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A paper list of object detection using deep learning.
- deep-learning
- deep-neural-networks
- deeplearning
- objectdetection
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
- combinatorial-optimization
- community-detection
- dynamic-graphs
- edge-orientation
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
algorithms for community detection from n-partite networks