ryanabnavi Goto Github PK
Name: Ryan D. Abnavi
Type: User
Company: Cleveland State University
Name: Ryan D. Abnavi
Type: User
Company: Cleveland State University
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Sample web application for the AWS DevOps Engineer Learning Path.
The aim this work is to find the relation of Chicago Crimes and some econocensus factors as well as some weather factors.
A Handful of D(u)S(t)
A collection of various deep learning architectures, models, and tips
Feature selector is a tool for dimensionality reduction of machine learning datasets
Week 1 (Easier) Assignment - Building a Wireframe
Deep Learning for humans
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Machine learning papers that every data scientist should have read !
RNA-seq, R tutorial
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Deep recommender models using PyTorch.
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.