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unet-segmentation-in-keras-tensorflow

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

unet-tgs

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

unet-version

unet3plus_tensorflow2

Unofficial Implementation of Unet3plus with Tensorflow 2

unsupervised_facies_clustering

An example of carrying out unsupervised cluster analysis

unsw

Course materials

unsw-mathematical-biology

NGlyAlign

using-google-colab-to-train-cnn

utm

Bidirectional UTM-WGS84 converter for python

vehicle-detection-and-tracking

virtual-try-on

See a virtual image of yourself in the desired cloth of your preference.

volve-machine-learning

Exploration of machine learning in the Volve field dataset

vott

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

vtuber-python-unity

An Implementation of VTuber (Both 3D and Live2D) using Python and Unity. Providing face movement tracking, eye blinking detection, iris detection and tracking and mouth movement tracking using CPU only.

webcam-augmentation

A Python program that augments webcam streams on any video chat program and operating system.

well-logging-data-synthesis

Using ML techniques to predict compressional travel-time (DTC)

welly

Welly helps with well loading, wireline logs, log quality, data science

whisper

Robust Speech Recognition via Large-Scale Weak Supervision

xlines

X lines of Python

xsboringen

plot borehole data in cross-sections

xtreme-vision

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

yolo-object-detection-with-opencv

Object detection using YOLO object detector

youtubeli

Github repo to upload demo files of youtube videos and linkedin