harisankar01/IEEE-ML-Projects
An collection of machine learning projects implemented based on IEEE papers.
This collection provides ready-to-use machine learning and deep learning projects that are based on research papers published by IEEE. You can explore various datasets and models, with the goal of understanding or replicating published academic work. This resource is ideal for students, researchers, or data scientists looking for practical examples of cutting-edge ML techniques.
No commits in the last 6 months.
Use this if you are a student or researcher wanting to learn from, apply, or replicate machine learning techniques described in IEEE papers.
Not ideal if you are a business user looking for a pre-built solution to a specific industry problem, without needing to interact with code.
Stars
8
Forks
2
Language
Jupyter Notebook
License
—
Category
Last pushed
Aug 11, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/harisankar01/IEEE-ML-Projects"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a...
Tanu-N-Prabhu/Python
This repository helps you learn Python and Machine Learning from scratch.
GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine...
github/codespaces-jupyter
Explore machine learning and data science with Codespaces
GoogleCloudPlatform/asl-ml-immersion
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion