pycm VS mlnotify

Compare pycm vs mlnotify and see what are their differences.

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pycm mlnotify
18 9
1,429 340
- 0.0%
5.0 0.0
2 months ago almost 2 years ago
Python Vue
MIT License 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.

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 pycm and mlnotify you can also consider the following projects:

seq2seq - A general-purpose encoder-decoder framework for Tensorflow

datascience - Curated list of Python resources for data science.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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

AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022

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

InvoiceNet - Deep neural network to extract intelligent information from invoice documents.

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

pretty-print-confusion-matrix - Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

covalent - Teradata UI Platform built on Angular Material

pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

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