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Final Evaluation Report for GSOC 2022

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@Neel-Shah-29
Neel-Shah-29 / Final-Evaluation-Gsoc.md
Last active October 4, 2022 14:01
Blog describing my work done for Final Evaluation in GSOC 2022

Final Evaluation Report for GSOC 2022

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@Neel-Shah-29
Neel-Shah-29 / GSOC03.md
Last active July 23, 2022 22:10
Implementation of Operators in SOFIE

Implementation of ONNX operators in SOFIE

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I am walking through all the steps required for implementing the operators in SOFIE with the help of an example of Leaky Relu Operator.

Defination of Leaky Relu

The Defination is available at ONNX Documentation here

@Neel-Shah-29
Neel-Shah-29 / GSOC02.md
Created July 1, 2022 21:51
Community Bonding Period

Community Bonding Period

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This is the period of time between when accepted GSoC contributors are announced and the time they are expected to start coding. This time is an excellent one to introduce your GSoC contributors to the community, get them on the right mailing lists, introduce them to the codebase, discuss how they will work with their mentors on their timeline for the program, etc.

I had an unique experience during the community bonding period, i will share my experience and the kind of satisfaction i got after the completion of this period.

@Neel-Shah-29
Neel-Shah-29 / GSOC01.md
Last active May 30, 2023 16:50
Getting Into GSOC 2022 under CERN HSF!

Getting into GSOC 2022

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What is Google Summer of Code, and what it is not?

GSoC is a awesome open source program for students to get some experience in open source development. It is an initiative by Google that helps organizations connect with students and get them started with their open-source projects. It is a great platform to explore new areas, maybe discover a new career path!

Sketch Like a GANgsta

Webp net-gifmaker(1)

Description of Project

GANs are a relatively recent invention in field of ML. The primary objective of GANs was to generate new samples from the given dataset. And since the invention of GANs, they have grown to accomplish this task with better results and added features. Sketch to Color Image generation is an image-to-image translation model using Conditional Generative Adversarial Networks. In this project we learnt to create a Conditional GAN to predict colorful images from the given black and white sketch inputs without knowing the actual ground truth.

Screenshot 2021-11-19 091336

This section contains the technologies we used for this project.