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algorithms-i

Algorithms,part I Princeton University Course

algorithms-ii

Algorithms,part II-Princeton University Course

amphere-test.tk

Amphere-Beta

apitest

flask and postgresql api

applied-data-science-with-python-university-of-michigan

Data Science Specialization

awesome-react-depository

React notes, experiments, design patterns and many more

aws-wikis

Repository to maintain wiki for micro-module development in serverless

azure-function-gremlin

cezerin

Cezerin is React and Node.js based eCommerce platform.

chat-module

This module is to build concept of learning socket programming and chat service for end user

clrs

:notebook:Solutions to Introduction to Algorithms

cs-20-stanford

CS 20: Tensorflow for Deep Learning Research

darknet

Convolutional Neural Networks

dataweave-assignment

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

digitrecognizer

NeuralNet

ds-algo-main

Structuring Algorithms and Data Structure in Python

enactus-store

enactusjmistore

find-code-references-in-pull-request

Find Code Reference Flags in Pull Requests

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

git-test

Learning and deployinh into git repo

javascript

JavaScript Style Guide

kotlin-learning

This repository is for kotlin learning and its usage in different platforms

learning-hub

This repository is to mark daily checkpoint, hurdles faced or any good learning which needs to be noted in all areas of software development, will noted in issue section

lektor

The lektor static file content management system

machine-learning-models

markdown-cheatsheet

Markdown Cheatsheet for Github Readme.md

ml-andrewng

Machine Learning Course from Coursera by Andrew Ng