pytest-visual
dvclive
| pytest-visual | dvclive | |
|---|---|---|
| 1 | 5 | |
| 16 | 153 | |
| - | 2.0% | |
| 8.7 | 8.9 | |
| about 1 month ago | 5 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
pytest-visual
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[P] Elevate Your ML Testing with pytest-visual
I’ve developed a tool called pytest-visual, aiming to make ML code testing more efficient and meaningful. Traditional unit testing often misses visual and functional aspects of ML workflows such as data augmentation and model structures.
dvclive
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First 15 Open Source Advent projects
10. DVC by Iterative | Github | tutorial
- Log and track ML metrics, parameters, models with Git and DVC
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[P] Extension for VS Code to track ML experiments
There is no designated way to dump metrics. In the case of data for plots, we have a simple logger that might help: https://github.com/iterative/dvclive
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Show HN: DVC Studio – Git-Based ML Experiments Management
DVC has metrics logger similar to other experiment management tool: https://github.com/iterative/dvclive/
Also, metrics & params section of the docs explains this (but yes, it is not perfect yet): https://dvc.org/doc/start/metrics-parameters-plots
What are some alternatives?
chitra - A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
phoenix - AI Observability & Evaluation
torchview - torchview: visualize pytorch models
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
nannyml - nannyml: post-deployment data science in python
dvc - 🦉 ML Experiments and Data Management with Git
tfgraphviz - A visualization tool to show a TensorFlow's graph like TensorBoard
OpenLLM - Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
receptive_field_analysis_toolbox - A toolbox for receptive field analysis and visualizing neural network architectures
tf-explain - Interpretability Methods for tf.keras models with Tensorflow 2.x