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Shreyansh Pandey's Projects

electron-run-shell-example icon electron-run-shell-example

An example of a standalone HTML5 app using GitHub's Electron project (Chrome Engine + Node.js). This shows running a bash shell as a child process and pouring the output into HTML5 elements.

face-api.js icon face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

fast-style-transfer icon fast-style-transfer

A TensorFlow implementation of real-time style transfer based on the paper 'Perceptual Losses for Real-Time Style Transfer and Super-Resolution' by Johnson et. al

fastai-v3 icon fastai-v3

Starter app for fastai v3 model deployment on Render

flair icon flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gatling icon gatling

Async Scala-Akka-Netty based Load Test Tool

gauge icon gauge

Light weight cross-platform test automation

gradle-cucumber-jvm-plugin icon gradle-cucumber-jvm-plugin

[Deprecated] The gradle cucumber-jvm plugin provides the ability to run cucumber acceptance tests directly from a gradle build. The plugin utilizes the cucumber cli provided by the cucumber-jvm project, while imposing a few constraints to encourage adopters to use cucumber in a gradle friendly manner.

hera icon hera

Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.

homebrew-core icon homebrew-core

🍻 Default formulae for the missing package manager for macOS (or Linux)

ilearndeeplearning.py icon ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

image-comparison icon image-comparison

Published on Maven Central and jCenter Java Library that compares 2 images with the same sizes and shows the differences visually by drawing rectangles. Some parts of the image can be excluded from the comparison. Can be used for automation qa tests.

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