ahsanmemon/Triplet-Loss

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MIT License
Created over 4 years ago
Updated over 4 years ago

ahsanmemon/Triplet-Loss

ahsanmemon

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My efforts to understand and implement the Triplet Loss Function

NFNets-Tensorflow

GANs

Venturing into GANs with a focus on creating completely custom models ultimately.

Jupyter Notebook

Gradient-Tape

Creating custom routines in Tensorflow has never been easy. Mostly because of the complexities involved in writing the code. With tensorflow 2.0 eager-execution and GradientTape, I find it relatively easier to write models while avoiding the confusing sub-classing APIs that Tensorflow provides. This repository contains some of the code that I wrote to understand and implement models using GradientTape instead of the classical model.fit or model.compile methods that Keras and Tensorflow 2 provide.

Jupyter Notebook

Cool-Research-and-Courses

Unsupervised-Classification-Tensorflow

Jupyter Notebook

Transformer

This repo will contain code on the transformer architecture that I have coded in Tensorflow 2. I will try and make sure there are some easy-to-use jupyter notebooks available too and some training scripts that would help test its functionality relatively easily.