Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
ML5.js
Google Cloud Machine Learning
SIMON
TensorFlow
Evidently AI
ML5.js
ML Showcase
Lobe
Pretrained AI
Censius.ai
Lightly AI
Vast.ai
Evidently AI might be a bit more popular than Amazon Machine Learning. We know about 2 links to it since March 2021 and only 2 links to Amazon Machine Learning. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: over 1 year ago
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
ML5.js - Friendly machine learning for the web
Lobe - Visual tool for building custom deep learning models
ML Showcase - A curated collection of machine learning projects
Apple Machine Learning Journal - A blog written by Apple engineers
Pretrained AI - Integrate pretrained machine learning models in minutes.