dsgiitr/VisualML
Interactive Visual Machine Learning Demos.
This collection of interactive demonstrations helps machine learning students and enthusiasts understand how various AI models work. You input common datasets like Iris or MNIST, and the demos output visual explanations of concepts like neural network architecture, decision boundaries, principal components, or latent spaces. It's designed for anyone learning or teaching machine learning concepts who wants to see them in action.
118 stars. No commits in the last 6 months.
Use this if you are studying or teaching machine learning and want to visualize complex algorithms and their outputs directly in your browser.
Not ideal if you are looking for a tool to build or deploy your own machine learning models for practical applications.
Stars
118
Forks
24
Language
CSS
License
GPL-3.0
Category
Last pushed
Mar 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/dsgiitr/VisualML"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ndif-team/nnsight
The nnsight package enables interpreting and manipulating the internals of deep learned models.
huggingface/dataset-viewer
Backend that powers the dataset viewer on Hugging Face dataset pages through a public API.
LYH-YF/MWPToolkit
MWPToolkit is an open-source framework for math word problem(MWP) solvers.
epfml/disco
DISCO is a code-free and installation-free browser platform that allows any non-technical user...
ndif-team/ndif
The NDIF server, which performs deep inference and serves nnsight requests remotely