mayank-umn Goto Github PK
Name: Mayank Hasija
Type: User
Company: University of Minnesota
Location: Minneapolis
Name: Mayank Hasija
Type: User
Company: University of Minnesota
Location: Minneapolis
100 Days of Code: The Complete Python Pro Bootcamp
100 Days of Data Science
100 Days of ML Coding
100 Days of Code Challenge with Python
The AI for Earth API Platform is a distributed infrastructure designed to provide a secure, scalable, and customizable API hosting, designed to handle the needs of long-running/asynchronous machine learning model inference. It is to be used with the AI For Earth API Framework (https://github.com/microsoft/AIforEarth-API-Development).
Source Code for 'Applied Analytics through Case Studies Using SAS and R' by Deepti Gupta
https://github.com/Aniruddha-Tapas/Applied-Machine-Learning.git
:memo: An awesome Data Science repository to learn and apply for real world problems.
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Data Jam Session -- Beyond the P-Value: Visualizing and Embracing Uncertainty
An attempt to implement a paid service "boomerang", for gmail, in python using gmail API
collection of cheat sheets
personal cheatsheets on various technologies
Laboratory Material for the course on Cloud Computing
It contains all the files I created during the MERN full stack web development course with coding ninjas
All resources and notes from the Complete Web Developer in 2022: Zero to Mastery course
Stanford
Code for CS570, Essentials of Data Science
CSE 6363 - Machine Learning
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Predictive Analytics
A GPU accelerated error-bounded lossy compression for scientific data.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
Carefully curated resource links for data science in one place
Data science interview questions with answers. Not ideally (yet)
Data Science Questions and Answers (General) for beginner
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Toturial coming with "data science roadmap" graphe.
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.