sharif618 Goto Github PK
Name: Mohammad Amir Sharif
Type: User
Bio: Ph.D. in Computer Science from CACS, University of Louisiana with all through CS background.
Name: Mohammad Amir Sharif
Type: User
Bio: Ph.D. in Computer Science from CACS, University of Louisiana with all through CS background.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Machine Learning University: Accelerated Natural Language Processing Class
Course Files for Complete Python 3 Bootcamp Course on Udemy
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute
Curated list of data science interview questions and answers
Deep Learning Specialization by Andrew Ng on Coursera.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
This is a project to auto-deploy with an ML payload
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
A collection of machine learning examples and tutorials.
Mastering Transformers, published by Packt
A repository to index and organize the latest machine learning courses found on YouTube.
Free MLOps course from DataTalks.Club
A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.
Lab files for Azure Machine Learning exercises
Pandas Cookbook, published by Packt
Practice your pandas skills!
"Probabilistic Machine Learning" - a book series by Kevin Murphy
[Book-2021] Practical MLOps O'Reilly Book
Files for Udemy Course on Algorithms and Data Structures
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
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.