Identifies Salt Deposits by analyzing subsurface images.
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Updated
May 12, 2020 - Python
Identifies Salt Deposits by analyzing subsurface images.
A notification client for tiramisu written in bash
Reinforcement learning for compiler performance optimization.
Implementation of The One Hundred Layers Tiramisu for semantic segmentation in Keras
Implemented Tiramisu network using pytorch.
Deep neural network model based to predict optimal loop unrolling factors to optimize loops in tiramisu compiler.
Per-app language preferences (Android 13+)
Implementation of image segmentation networks using pytorch.
Sample for Photo picker (Android 13+)
Semantic Segmentation on Cilia Images Using Tiramisu Network in PyTorch.
Sample for Themed app icons(Android 13+)
Sample for RuntimeShader API(Android 13+)
Simple notifications from tiramisu in polybar or waybar
Sample for Quick Settings placement API(Android 13+)
This repository contains few Convolution based networks implemented for detecting cilia which is completed on CSCI 8360, Data Science Practicum at the University of Georgia, Spring 2018.
Android 13 Device Tree for Realme XT (RMX1921) - RUI 2.0 Firmware Base
An example of semantic segmentation on iOS using CoreML and Keras.
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