runhouse
squirrel-core
runhouse | squirrel-core | |
---|---|---|
6 | 1 | |
721 | 279 | |
3.7% | 0.7% | |
9.8 | 5.6 | |
4 days ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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runhouse
- Runhouse
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Better GPU Cluster Scheduling with Runhouse
With Runhouse, it’s easy to send code to your compute no matter where it lives, and efficiently utilize your resources across multiple callers scheduling jobs (e.g. researchers, pipelines, inference services, etc). We believe less is more when it comes to AI DevOps, so we don’t make any assumptions about the structure of your code or the infrastructure to which you’re sending it.
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The Great MLOps Hoax: Is It Just Data Engineering in Disguise?
You may want to look at run.house [0] for a pretty powerful solution to many of these problems.
[0] https://github.com/run-house/runhouse
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Who uses Apache Airflow for MLOps? Enlighten me.
I was the product lead for PyTorch and was seeing the same problem all over, so I've been working on a new tool for exactly this: https://github.com/run-house/runhouse
- Run-house/runhouse: Programmable remote compute and data across environments
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How easy is it to migrate from one MLOps tool to another? And what SaaS platform would you recommend?
I've been working on a very flexible and low-lift OSS ML platform that sounds like it would suit your needs: https://github.com/run-house/runhouse
squirrel-core
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[P] Squirrel: A new OS library for fast & flexible large-scale data loading
Today we open-sourced Squirrel, a data infrastructure library that my colleagues and I have been working on over the past 1.5 years: https://github.com/merantix-momentum/squirrel-core
What are some alternatives?
omegaml - MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
squirrel-datasets-core - Squirrel dataset hub
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
talking-head-anime-3-demo - Demo Programs for the "Talking Head(?) Anime from a Single Image 3: Now the Body Too" Project
ML-YouTube-Courses - 📺 Discover the latest machine learning / AI courses on YouTube.
PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
speaking_with_plato - Exploring Plato's philosophy with AI - A Data Spiral blog article
datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
papers-with-data - A curated list of papers that released datasets along with their work
Failed-ML - Compilation of high-profile real-world examples of failed machine learning projects
chicksexer - A Python package for gender classification.