nitroml
lightwood
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| nitroml | lightwood | |
|---|---|---|
| 1 | 2 | |
| 40 | 420 | |
| - | 3.8% | |
| 0.9 | 9.2 | |
| about 3 years ago | 6 days ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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nitroml
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Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database
The benchmarking challenges you are facing are pretty common in the AutoML community. My colleagues and I at Google Research are trying to solve this with https://github.com/google/nitroml. It's still super early days (no CI yet), but I think it could help your team benchmark on a set of open standard benchmark tasks as we open source more of the system.
lightwood
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[D] What would a good ML take home test look like for you?
Create a very detailed issue about this (bonus points, you can use the same thing for all candidates to have a fair evaluation). Here's an example.
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Launch HN: MindsDB (YC W20) – Machine Learning Inside Your Database
3. A decoder that is trained to generate images takes that representation and generates an image1.
Note: above is a good illustrative example, in practice, we're good with outputting dates, numerical, categories, tags and time-series (i.e. predicting 20 steps ahead). We haven't put much work into image/text/audio/video outputs
You should be able to find more details about how we do this in the docs and most of the heavy lifting happens in the lightwood repo, the code for that is fairly readable I hope: https://github.com/mindsdb/lightwood
What are some alternatives?
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
MindsDB - The platform for customizing AI from enterprise data
mlops-with-vertex-ai - An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
probability - Probabilistic reasoning and statistical analysis in TensorFlow
Projects-Archive - This hacktober fest, the only stop you’ll need to make for ML, Web Dev and App Dev - see you there!
funsor - Functional tensors for probabilistic programming