awesome-jax
awesome-production-machine-learning
| awesome-jax | awesome-production-machine-learning | |
|---|---|---|
| 3 | 9 | |
| 1,312 | 16,178 | |
| - | 2.5% | |
| 6.2 | 7.5 | |
| 8 days ago | 5 days ago | |
| Creative Commons Zero v1.0 Universal | MIT License |
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awesome-jax
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[D] Any less-boilerplate framework for Jax/Flax/Haiku?
Have you looked in here?
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[D] JAX learning resources?
Here's a compilation of resources: https://github.com/n2cholas/awesome-jax
awesome-production-machine-learning
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
One trove of treasures is the awesome-production-machine-learning repository on GitHub. This curated list provides a multitude of frameworks, libraries, and software designed to facilitate various stages of the ML lifecycle.
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
There is a cool, gigantic list for MLOps that I can recommend: https://github.com/EthicalML/awesome-production-machine-learning
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How much of a full DS project pipeline can I do for free?
There are a lot of frameworks and specific tools out there that try to make production ML projects viable; from specific like Airflow (orchestrating jobs) and MLflow (experiment tracking) to more complex ones like Kubeflow. You can have a grasp here.
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Sqldiff: SQLite Database Difference Utility
https://github.com/EthicalML/awesome-production-machine-lear...
- [D] What are the best resources to crack M L system design interviews?
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I'm looking for a tool that let's you visualize the models architecture like this. Any idea what it is called?
https://github.com/EthicalML/awesome-production-machine-learning I think you will find most of the tools to visualize the model on this link.
- Awesome production machine learning - curated list of awesome open source libraries that will help you deploy, monitor, version, scale, and secure your production machine learning [free] [website] [@all]
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Crucial differences in MLOps for deep learning
2/ https://github.com/EthicalML/awesome-production-machine-learning
What are some alternatives?
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
shap - A game theoretic approach to explain the output of any machine learning model.
awesome-ocr
netron - Visualizer for neural network, deep learning and machine learning models
awesome-ai-in-finance - 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
awesome-mlops - :sunglasses: A curated list of awesome MLOps tools
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
awesome-deep-learning - A curated list of awesome Deep Learning tutorials, projects and communities.
datascience - Curated list of Python resources for data science.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration