alexnet-pytorch

An PyTorch implementation AlexNet.Simple, easy to use and efficient

algorithms

A collection of algorithms and data structures

algorithms2

Algorithms and Data structures

analyzing-book-data-hadoop

I did this project as part of Edureka Big Data & Hadoop Certification.

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

bluepy

Python interface to Bluetooth LE on Linux

cache-memory-lru-algo-simulation

This was done in IVth semester, as part of "Computer Organization & Computer Architecture" Assignment.

concurrency

distributedsystems-6.824-spring2020

Distributed Systems pet project learning using Distributed Systems pet project learning using MIT OpenCourseWare

dslabs

Distributed Systems Labs and Framework

educative-io-contents

engineeringladders

A framework for Engineering Managers

flair-text-classification

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

github-readme-stats

:zap: Dynamically generated stats for your github readmes

gsoc-related-temp-repo

This repo is for temprorary saving of files. More like a backup.

hadoop

This repository has practise programs for Hadoop basics along with sample data sets

http-load-balancer

http-load-balancer-zip-file

This is a temprorary repository for HTTP-Load-Balancer zip file. You could simply extract and try it out !

hub

Submission to https://pytorch.org/hub/

interview

Interview questions

into-to-ml-udacity120-projects

Starter project code for students taking Udacity ud120

ktor-samples

Sample projects for Ktor

liota

magma

MAGMA - a GPT-style multimodal model that can understand any combination of images and language

mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

neetcode-solutions

My solutions in C++ and Python for problems on NeetCode.io

paperswithcode-data

The full dataset behind paperswithcode.com

product-http-load-balancer

This is a Google Summer of Code (GSoC 2016) Project.

professional-programming

A collection of learning resources for curious software engineers

releasing-research-code

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)