datascience VS mlnotify

Compare datascience vs mlnotify and see what are their differences.

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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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datascience mlnotify
4 9
4,071 340
- 0.0%
8.3 0.0
22 days ago almost 2 years ago
Vue
Creative Commons Zero v1.0 Universal MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

datascience

Posts with mentions or reviews of datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.

mlnotify

Posts with mentions or reviews of mlnotify. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-28.

What are some alternatives?

When comparing datascience and mlnotify you can also consider the following projects:

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

covalent - Teradata UI Platform built on Angular Material

mlreef - The collaboration workspace for Machine Learning

pycm - Multi-class confusion matrix library in Python

darts - A python library for user-friendly forecasting and anomaly detection on time series.

covalent - Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.