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Would be nice to validate how accurate this https://github.com/emielrv/FracTAL_ResUNet
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Hey, guys!
I am Jinan, a MLE from [Nutanix](https://www.nutanix.com/). I will build a PyTorch version of TimeFM, together with my colleagues @tanmayshishodia and @rghosh08. Would also be super happ…
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Your work is truly outstanding. The original code was written in C, which makes it very difficult for beginners like us to understand. Your open-sourced PyTorch version has been immensely helpful to m…
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### 🚀 The feature
Hey everyone, I’m Ali, a software engineer from Nuro, and we’ve been working on migrating a lot of vision models from tensorflow to pytorch. One particularly critical operation for …
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Thanks for your great work first of all!
I am mainly curious: So far I haven't yet found an implementation of dinov2 using pytorch lightning. Are there any technical barriers for this (e.g. trainin…
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In PyTorch there is a module called [PixelShuffle ](https://pytorch.org/docs/stable/generated/torch.nn.PixelShuffle.html).
I created as mall implementation of it that currently only supports 4D Tenso…
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### 🚀 The feature, motivation and pitch
Hey everyone, I’m Ali, a software engineer from Nuro, and we’ve been working on migrating a lot of vision models from tensorflow to pytorch. One particularly…
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I implement a PyTorch version of TimesFM [here](https://github.com/tangh18/timesfm_torch). It includes the essential components required to operate the model effectively. Hope it helps. :D
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Current knowledge distillation recipes don't have support for activation offloading and opt_in_bwd.
The implementation should be similar to the one in other recipes, like full_finetuning_distribute…
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This is very cool and much needed! Any plans for a PyTorch implementation?