LeslieWongCV/RVFL-Bundle

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Created over 3 years ago
Updated about 3 years ago

LeslieWongCV/RVFL-Bundle

LeslieWongCV

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Random Vector Functional Link Network

EE7207

Code for assignment 1 of EE7207

Simply-Drag-N-Drop

A tool that display a pair of images, you could simply drag one of the images and save the smaller image's coordinates(the upper left corner) that in the larger image.

CV

algorithm about basic Image Processing

Jupyter Notebook

stack-overflow-crawler

For collecting top 10 voted and 10 Newest featured Questions on Stack Overflow

EE6222

EE7403-wong

Python-data-structure-learning

Python data structure learning including class import, dictionary and list.

K-Means-clustering

k-Means clustering is one of the most popular clustering methods in data mining and also in unsupervised machine learning. Here is a simple technique (actually a demonstration of the algorithm) for clustering data using k-Means Clustering method (with centroid-based). This code (for now) uses iterative method but doesn't use stopping or convergence criteria.

RF

EE6227

ELM

Extrem Learning Machine

student-info-system

python-aircraft

StochasticGradientDescentAlgorithm

SDG algorithm from the lowest level

sklearn

Decision Tree using sklearn

PREMVOS-mod-for-large-scale-video-object-segmentation

PREMVOS modification for large-scale video object segmentation

decision-tree

A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes).

Jupyter Notebook