datasets
awesome-production-machine-learning
datasets | awesome-production-machine-learning | |
---|---|---|
3 | 9 | |
2 | 16,178 | |
- | 2.5% | |
3.9 | 7.5 | |
2 months ago | 8 days ago | |
Python | ||
Creative Commons Zero v1.0 Universal | MIT License |
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.
datasets
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
ReductStore is a specialized time-series database designed for blob data, optimized for edge computing, computer vision, and IoT applications.
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
When seeking an on-premise alternative to LandingEdge for sophisticated edge computing and computer vision tasks, ReductStore emerges as a compelling solution. This Time-Series Database is tailored for Blob Data, emphasizing optimizations that cater to the unique demands of Edge Computing, IoT, and Computer Vision applications.
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ReductStore - time series database for blob data with a focus on AI needs
To attract users and bring some value, I started collecting public datasets and hosting them with the database: https://github.com/reductstore/datasets. You can get the datasets using client SDKs or a CLI tool.
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?
flytesnacks - Flyte Documentation 📖
shap - A game theoretic approach to explain the output of any machine learning model.
Apache ZooKeeper - Apache ZooKeeper
awesome-jax - JAX - A curated list of resources https://github.com/google/jax
Photonix - A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms.
netron - Visualizer for neural network, deep learning and machine learning models
awesome-mlops - :sunglasses: A curated list of awesome MLOps tools
awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security
datascience - Curated list of Python resources for data science.
awesome-ocr
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Awesome-Federated-Learning - FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai