Name: Pratyush Shukla
Type: User
Bio: I code whatever, however I want.
Twitter: 1PRAXS
I am an aspiring Machine Learning Engineer and I love to code stuff. I am well versed in C, C++, Java, Python, R, Julia, MySQL, NoSQL and MATLAB. I can also code in Assembly (x86_64 and ARM64 instruction sets). Currently, I am learning Web Development using JavaScript and React.
I would love to collaborate with you! Hit me up on my email!
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
capsule_net_pytorch
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
cheatsheets
My cheatsheets
cheatsheets-1
RStudio Cheat Sheets
coding-interview-university
A complete computer science study plan to become a software engineer.
coursera
Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera
cs231n.github.io
Public facing notes page
data-science--cheat-sheet
Cheat Sheets
data-science-blogs
A curated list of data science blogs
datasciencecoursera
John Hopkins Data Science Course Specialization
datasharing
The Leek group guide to data sharing
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
dlaicourse
dog-breed-classifier
Dog Breed Classification using CNN
exercism
My solutions for Exercism
fastbook
Draft of the fastai book
githubgraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
hawk-praxs
intro-to-ml-tensorflow
Projects and exercises for the Udacity Intro to Machine Learning with TensorFlow course
jetbrainstools
This repository comprises of the learning resources of JetBrains Tools
ml-on-gcp
Machine Learning on Google Cloud Platform
ml_sagemaker_studies
Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.
os-sched
Pre-emptive Priority Scheduling Algorithm based on Dynamic Priority
plagiarism-detection
Plagiarism detection on corpus of short answers trained and deployed on AWS
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
sentiment-analysis
Sentiment Analysis Model for IMDb dataset, trained and deployed on AWS
tf-2.0-hacks
Contains my explorations of TensorFlow 2.x
the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix
ud-tf-dl
TensorFlow examples
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
