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ai-in-practice

attention

Here are my experiments for the Attention Model that includes self-attention and multi-head attention

cool-research-and-courses

deeplearningventures

featurelearningrotnet

gans

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

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.

nfnets-tensorflow

py-books

A collection of Python books 📖

py-snippets

A collection of various kinds of Python bits and pieces. No big tools, just experiments.

tiramisuasr

A Sweet Automatic Speech Recognition like Tiramisu Cake using Tensorflow 2. Supported languages having small number of characters such as English, Vietnamese, German, etc.

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.

triplet-loss

My efforts to understand and implement the Triplet Loss Function

unsupervised-classification-tensorflow