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Gaurav Gogia's Projects

facenet-face-recognition icon facenet-face-recognition

A face recognition demo performed by feeding images of faces recorded by a webcam into a trained FaceNet network to determine the identity of the face

fdc-mm-1 icon fdc-mm-1

Repository for documenting work done during Mentor-Mentee session in DevC The idea is to increase practical functional knowledge about different tools & techniques involved in security & forensics.

firebaseconfig icon firebaseconfig

This is a sample project to demonstrate Firebase Remote Configuartion

fit icon fit

File Integrity Tester

fslib icon fslib

📚 A collection of tools and libraries to parse filesystems, archives and other data types

genie icon genie

A smol & simple go web app project boiler plate generator that takes care of registering CRUD handlers, CORS, safe headers, logging, multi-threading, mongodb connection.

genie-gui icon genie-gui

A smol & simple go web app project boiler plate generator that takes care of registering CRUD handlers, CORS, safe headers, logging, multi-threading, mongodb connection.

go-question-bank icon go-question-bank

A Question Bank for People Learning Programming in GoLang, with Test Driven Development Approach

gonlp icon gonlp

NLP Tools written in golang

gonlp-2 icon gonlp-2

Basic natural language parsing in GoLang (Part-Of-Speech-Taggging)

google-devfest-india-2022-cloud icon google-devfest-india-2022-cloud

This repository is a collection of talks/presentations given at various DevFest/Cloud Community Days/Cloud NEXT Events held in 2022 in India. The repository focuses on Google Cloud Platform talks. If you have presented at one of the DevFest's in the Cloud track, please do share your content.

gorm icon gorm

The fantastic ORM library for Golang, aims to be developer friendly

gowall icon gowall

GoWall is a firewall made in GoLang that uses IPTables as it's backbone, the idea is to allow easy and fast configuration of IPTables.

graphview icon graphview

GraphView is a DLL library that enables users to use SQL Server or Azure SQL Database to efficiently manage graphs.

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