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autoencoder-and-kernel-density

Implementation of an auto-encoder is a type of artificial neural network used to learn efficient data encoding in an unsupervised manner along with kernel density estimators

azure-cli

Azure Command-Line Interface

azure-cli-extensions

Public Repository for Extensions of Azure CLI.

azure-docs-sdk-dotnet

Repository for documentation on the Azure .NET SDK.

azure-powershell

Microsoft Azure PowerShell

azure-rest-api-specs

The source for REST API specifications for Microsoft Azure.

azure-sdk-for-net

This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/en-us/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.

basic-similarity-predictor

​ ​A ​system​ ​that​ ​can​ ​calculate​ ​similarity​ ​score​ ​between​ ​different​ ​text​ ​chunks.

bittorrent

Bittorrent is a P2P file sharing protocol which accounts for over 25% of traffic on the internet. In P2P file sharing,a software client on an end-user PC request a file,and portion of the requested file residing on peer machines are sent to the client and then reassembled into a full copy of the requested file. We created our own .mtorrent for this purpose and which contain the SHA1 of the corresponding file and all other necessary details related to tracker and its own Id. We also handled the fault tolerance on network by maintaining two trackers instead of one.

cnn

codefundo

competitive_programming

All standard competitive programming questions with solutions from different coding platforms

decisiontree

Implementation of decision tree from scratch along with analysis of its performance with different types of impurity measures

distributed-ai-on-the-edge

Built a Distributed AI on the Edge Platform that is capable of managing & deploying tensorflow models using tensorflow serving. The platform was built using micro-service based architecture with features like auto-scaling, scheduling, centralized logging, monitoring, notification, high-availability and fault tolerance.

distributed-system-termination-detection-with-casusal-and-arbitrary-channel

Termination Detection algorithm implementation in distributed system, along with casual and arbitary channel

docker-handbook

Node JS web app using docker

docker-handbook-1

:whale: notes from docker self paced training

graduation

$ git remote <graduation> yearbook

handwritten-digit-recoganization-by-ann-in-openmp

Implementation of serial and parallel NN for handwritten digit recognition in openmp

http-and-ftp

Http and Ftp client server implementation.

ias_hackathon

Developed a micro-service using docker on a tf-model in 8 hr hackathon

knn-and-linear-regression

Implementation of KNN and Linear regression from scratch on iris and admission dataset.

l1-l2-regularization-and-kfold

Applied Regularisation techniques(Ridge+Lasso) and observed improvement in regression algorithm.It also contain two promising cross validation technique.

linuxcommandsimplementation

logistickmeanshirerchical

Logistic Regression and Kmeans implementation from scratch on Admission dataset and wine dataset respectively

minisqlengine

Developed a mini sql engine particularly for processing of all variation of select based sql queries.

neural-network

Neural Network implementation from scratch along with its analysis with different type of activation function and with variation in hidden layer size and depth.

openmp-basics

Some basic parallel computing time comparison in parallel scheduling algorithm.

pg-major-project

pintos_

Some Modifications in pintOS related to mutual exclusion