mlnotify
datascience
Our great sponsors
| mlnotify | datascience | |
|---|---|---|
| 9 | 4 | |
| 340 | 4,071 | |
| 0.0% | - | |
| 0.0 | 8.3 | |
| almost 2 years ago | 18 days ago | |
| Vue | ||
| MIT License | Creative Commons Zero v1.0 Universal |
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
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A ping when your model is done training !
Repo : https://github.com/aporia-ai/mlnotify
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[P] MLNotify - Get a push notification on model training completion with 1 line of import.
MLNotify: https://mlnotify.aporia.com/ GitHub: https://github.com/aporia-ai/mlnotify The story behind: https://www.aporia.com/meet-mlnotify/
- MLNotify v1.0
- Training your model can take a long long time... get NOTIFIED when it's finished!
- MLNotify – One import to get notified when your model training is finished
- MLNotify - Get notified when your ML model is finished training
- MLNotify - Get notified when your model is finished training
datascience
- Datasciene Libraries for Python
- Datascience Libraries for Python
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Good resources for learning ML with time series in Python? Some links I've found, but looking for canonical resources.
This GitHub repo maintains a good list of resources. Check out the "Time Series" section. https://github.com/r0f1/datascience
- Opinionated List of Data Science Libraries for Python
What are some alternatives?
coco-annotator - :pencil2: Web-based image segmentation tool for object detection, localization, and keypoints
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
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
covalent - Teradata UI Platform built on Angular Material
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.
pycm - Multi-class confusion matrix library in Python
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
covalent - Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security