Number detection implemented using TensorFlow with custom CNN architecture for fast inference and custom dataset
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Updated
Jun 2, 2021 - Python
Number detection implemented using TensorFlow with custom CNN architecture for fast inference and custom dataset
Simulating the architecture of a computer in the terminal (Assembler + Simulator)
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[ABANDONED] 🔰 Front End™ compiler boilerplate with Webpack + React+Redux + Stylus + Karma + and Custom architecture to build custom apps from zero.
This repository walks you through creating your own custom One-Stage object detection model architecture ( in keras ) , with a synthetic dataset generator on board for training and evaluation
Emotion Detection from Uploaded Images
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using the Unet model to segment images in order to find which lanes are drivable for a car
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Brest cancer detection from MRI scans and patient details using custom CNN architecture.
This repository contains implementation of online, offline and self-distillation methods:
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