synthetic-data-genomics
Proof of concept code from Gretel.ai and Illumina using generative neural networks to create synthetic versions of mouse genotype and phenotype data. (by gretelai)
SDE
Scalytics Connect development environment, pre-build (by scalytics)
| synthetic-data-genomics | SDE | |
|---|---|---|
| 3 | 5 | |
| 32 | 22 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
synthetic-data-genomics
Posts with mentions or reviews of synthetic-data-genomics.
We have used some of these posts to build our list of alternatives
and similar projects.
- Show HN: Synthetic Data Genomics
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[P] Synthetic Data Genomics
This is the proof of concept code from a Gretel.ai & Illumina project that used generative neural networks to create synthetic versions of mouse genotype and phenotype data. https://github.com/gretelai/synthetic-data-genomics
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Using AI to create safe, synthetic datasets for genomics
The code in this repository uses Gretel.ai's synthetic data APIs to create synthetic (artificial) versions of real world mouse genotype and connected phenotype datasets. https://doi.org/10.1038/ng.3609. https://github.com/gretelai/synthetic-data-genomics
SDE
Posts with mentions or reviews of SDE.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Python interface in beta
databloom.ai has released a dev environment: https://github.com/databloom-ai/BDE/blob/main/readme.md
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EarthCube, based on Apache Wayang, will be introduced at VLDB 2022!
Hello, thanks for your comment. We have recently released our "playground" environment: the Blossom Development Environment (https://github.com/databloom-ai/BDE). In that environment, we point out to our wiki several examples. We will soon release more Wayang examples and we are planning to provide a couple of simple tasks on top of Wayang, which will be "Hello World" Wayang tasks. Please stay tuned.
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databloom.ai released BDE, based on Apache Wayang
The team behind Apache Wayang released BDE (Blossom Development Environment) a few hours ago. Its a pre-built docker with Wayang, Spark, Hadoop, J11 and Jupyer. BDE enables rapid development and testing without the needs to setup data processing clusters. Check it out and stargaze it: https://github.com/databloom-ai/BDE
- Blossom Development Environment (BDE) is GA!
- Blossom Development Environment (BDE), Apache Wayang
What are some alternatives?
When comparing synthetic-data-genomics and SDE you can also consider the following projects:
genalog - Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.
datacontract-cli - CLI to manage your datacontract.yaml files
cortx - CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
HELK - The Hunting ELK
data-engineering-zoomcamp - Free Data Engineering course!