mlnotify
mllint
Our great sponsors
| mlnotify | mllint | |
|---|---|---|
| 9 | 3 | |
| 340 | 72 | |
| 0.0% | - | |
| 0.0 | 3.8 | |
| almost 2 years ago | almost 2 years ago | |
| Vue | Go | |
| MIT License | GNU General Public License v3.0 only |
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
mllint
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[D] How to maintain ML models?
Finally, there is the mllint tool that I have been developing during my MSc thesis on Software Quality in ML projects. While still a research prototype, it can already analyse your project and may be able to provide you with practical recommendations on what tools & techniques to employ for several aspects of your ML project's development. Feel free to try it out on your project and let me know what you think of it!
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Last week fluff-free AI, ML, and data-related original articles summary
- OpenAI released an improved version of Codex - Command-line utility to evaluate the technical quality of ML projects written in Python - It takes a whole convolutional neural network with five to eight layers to approximate a single cortical neuron - MLOps Monitoring Market Review
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[P][R] Announcing `mllint` — a linter for ML project software quality.
Source: https://github.com/bvobart/mllint
What are some alternatives?
datascience - Curated list of Python resources for data science.
MLOps - MLOps examples
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CortexTheseus - Cortex - AI on Blockchain, Official Golang implementation
bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
gorse - Gorse open source recommender system engine
covalent - Teradata UI Platform built on Angular Material
awesome-seml - A curated list of articles that cover the software engineering best practices for building machine learning applications.
pycm - Multi-class confusion matrix library in Python
dslinter - `dslinter` is a pylint plugin for linting data science and machine learning code. We plan to support the following Python libraries: TensorFlow, PyTorch, Scikit-Learn, Pandas and NumPy.