Open Source Landmarking Library
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Updated
Aug 7, 2019 - Jupyter Notebook
Open Source Landmarking Library
Ruby language bindings for LIBSVM
Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.
Domain Discovery for the Sparkler Crawl Environment
🍃 Spam Classifier with Data Preparation and Support Vector Machine (SVM)
Example of Machine Learning application: State of Charge estimation of a battery using SVR
An undergraduate project to evaluate classifiers for facial expression recognition.
Signature Verification using Deep Convolution Neural Networks
Speaker Diarization is the first step in many early audio processing and aims to solve the problem ”who spoke when”. It therefore relies on efficient use of temporal information from extracted audio features.
My TE Seminar mini project
SPPU - BE ENTC (2015 Pattern) - Elective III
This is a machine learning project made on Credit Card Fraud Detection. The data is taken from Kaggle. Different classification machine learning algorithms have been applied to get the maximum accuracy.
SVM-based object detection using dlib for python
Handwritten Digit Recognition Model
Machine learning is closely related to (and often overlaps with) computational statistics, which also focuses on prediction-making through the use of computers. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field.
C++ language program that searches for a car license plate on a photo and then recognises its registration number. [ENG]
PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM
Soft-margin SVM gradient-descent implementation in PyTorch and TensorFlow/Keras
Convert muse data file into CSV and use as training data for SVM
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