ejhusom/d2m
A machine learning pipeline taking you from raw data to fully trained machine learning model - from data to model (d2m).
This tool helps data scientists and machine learning engineers transform raw tabular or time-series data into fully trained and evaluated machine learning models. You provide your dataset, define your target variable, and the system outputs a model with built-in explanations, uncertainty estimates, and carbon emission reports. It's designed for practitioners who need to develop responsible AI solutions.
No commits in the last 6 months.
Use this if you need to quickly build and evaluate explainable and environmentally conscious machine learning models from tabular or time series data.
Not ideal if you're working with image, text, or other unstructured data types, or if you require deep customization of the model architecture.
Stars
8
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ejhusom/d2m"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
eightBEC/fastapi-ml-skeleton
FastAPI Skeleton App to serve machine learning models production-ready.
satellite-image-deep-learning/model-training-and-deployment
Training and deployment of deep learning models for satellite & aerial imagery
MarwanDebbiche/post-tuto-deployment
Build and deploy a machine learning app from scratch 🚀
BolajiAyodeji/deploy-ml-web-workshop
In this workshop, you will learn how to build a machine learning model using...
codingforentrepreneurs/AI-as-an-API
Learn to create & deploy a deep learning algorithm into a production REST API microservice using...