getting-started-with-genomics-tools-and-resources
metaflow-on-kubernetes-docs
| getting-started-with-genomics-tools-and-resources | metaflow-on-kubernetes-docs | |
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| 2 | 1 | |
| 1,101 | 7 | |
| - | - | |
| 4.8 | 1.8 | |
| 25 days ago | about 2 years ago | |
| Shell | Shell | |
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getting-started-with-genomics-tools-and-resources
- Does pitt offer any r-programming courses for non-CS majors?
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What are some of the best free software out there for exploratory bioinformaticians / aspiring synthetic biology researchers?
And, a much more comprehensive list of tools from a github contributor: https://github.com/crazyhottommy/getting-started-with-genomics-tools-and-resources
metaflow-on-kubernetes-docs
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[D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
There are community Forks supporting Kubernetes and KFP. But they are not yet a part of the main framework and support is fluctuating. I think support should be available in the future.
What are some alternatives?
manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
scanpy - Single-cell analysis in Python. Scales to >1M cells.
metaflow - Build and manage real-life data science projects with ease.
bioconda-recipes - Conda recipes for the bioconda channel.
BentoML - The most flexible way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Inference Graph/Pipelines, Compound AI systems, Multi-Modal, RAG as a Service, and more!
biowasm - WebAssembly modules for genomics
streamlit - Streamlit — A faster way to build and share data apps.
TeamTeri - Bioinformatics on GCP, AWS or Azure
kedro-great - The easiest way to integrate Kedro and Great Expectations
dash - Data Apps & Dashboards for Python. No JavaScript Required.
great_expectations - Always know what to expect from your data.