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What's the go-to ML framework nowadays? One day, I set off to create an ML project in Tensorflow; but I soon realized that getting the data in ready would be a

What's the go-to ML framework nowadays? One day, I set off to create an ML project in Tensorflow; but I soon realized that getting the data in ready would be a huge challenge and also a massive value-add. It's been three years and I'm still working on the data!

isoprophlex 3y ago
Pytorch itself, or abstractions built on top such as Huggingface
- esafak 3y ago
  Would you use Keras 3.0 for anything?
  - isoprophlex 3y ago
    Well... some 4 years ago I got a non trivial time series forecasting tool into production, built on Keras. The experience was pretty good, there was nothing that annoyed me too much. However, as the comments here show, the mindshare and community momentum seems to have shifted totally to Torch. Especially considering that it's transformers everywhere, right now, and there's just so much premade stuff built on top of pytorch, I'd probably stick with that. At least out of pragmatism such as the ease of hiring people with torch experience. The transparent Numpy experience seems nice, keras was the first thing I ever built real NNs with, all said it's never been bad to me but... to conclude, no.
kerasteam 3y ago
According to PyPI downloads and user surveys (like the yearly StackOverflow survey) the two main frameworks are TensorFlow and PyTorch for Deep Learning, and Scikit-Learn for classical ML. See: https://survey.stackoverflow.co/2023/#technology https://survey.stackoverflow.co/2023/#technology * TensorFlow: 9.53% usage among all devs * Scikit Learn: 9.43% * PyTorch: 8.75%
- tastyminerals2 3y ago
  Every time some survey pops up, TF somehow looks still relevant while I know noone who uses it or even considers using it unless they are new to DL field. How much of TF here is v2.0?:)
deleted 3y ago
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tastyminerals2 3y ago
We use exclusively PyTorch at work both for CV and NLP tasks and this is the standard nowadays. Keras was cool 5 years ago (last time I checked it) but it somewhat quickly faded due to TF.

isoprophlex 3y ago

Pytorch itself, or abstractions built on top such as Huggingface

esafak 3y ago
Would you use Keras 3.0 for anything?
- isoprophlex 3y ago
  Well... some 4 years ago I got a non trivial time series forecasting tool into production, built on Keras. The experience was pretty good, there was nothing that annoyed me too much. However, as the comments here show, the mindshare and community momentum seems to have shifted totally to Torch. Especially considering that it's transformers everywhere, right now, and there's just so much premade stuff built on top of pytorch, I'd probably stick with that. At least out of pragmatism such as the ease of hiring people with torch experience. The transparent Numpy experience seems nice, keras was the first thing I ever built real NNs with, all said it's never been bad to me but... to conclude, no.

kerasteam 3y ago

According to PyPI downloads and user surveys (like the yearly StackOverflow survey) the two main frameworks are TensorFlow and PyTorch for Deep Learning, and Scikit-Learn for classical ML. See: https://survey.stackoverflow.co/2023/#technology https://survey.stackoverflow.co/2023/#technology * TensorFlow: 9.53% usage among all devs * Scikit Learn: 9.43% * PyTorch: 8.75%

tastyminerals2 3y ago
Every time some survey pops up, TF somehow looks still relevant while I know noone who uses it or even considers using it unless they are new to DL field. How much of TF here is v2.0?:)

deleted 3y ago

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tastyminerals2 3y ago

We use exclusively PyTorch at work both for CV and NLP tasks and this is the standard nowadays. Keras was cool 5 years ago (last time I checked it) but it somewhat quickly faded due to TF.