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It would be nice if some special math functions would be available in PyTorch with CUDA support.
I am working with neural networks with probabilistic components and as such it's necessary for me to…
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Dear authors, the training scripts load weights from TSAN/TSAN-brain-age-estimation/TSAN/Sodeep_pretrain_weight.
Does it mean that we transfer knowledge from the pre-trained model and fine-tune the m…
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# 🐛 Bug
I am working on a material discovery problem where I am using qNEHVI for constrained multiobjective optimization (two objectives and one constrained). I am a beginner with both PyTorch and B…
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Multi-gpu training using 4 GPUs on one single node (`torch_distributed` set to `{"class": torch.nn.parallel.DistributedDataParallel, "options": {}})`: training hangs after one sub-epoch.
Training h…
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Hi, I'm using Diffrax to implement a tool for simulation and parameter estimation of System Biological Models. It is known that these kind of models are, in general, DAEs (not just ODEs) with possible…
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Looking at my own multi-ML meta-framework [from 3 years ago] I see this support table:
| Google | Other vendors …
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I'm not certain whether or not this can be considered a "Turing.jl-issue" or not, but I figured I would at least raise it as an issue here so people are aware.
The compilation time of Zygote scales…
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> 忘记从哪转载的了，但是非常good。英语看不懂可以翻译。
This repository introduces the fundamental concepts of
[PyTorch](https://github.com/pytorch/pytorch)
through self-contained examples.
At its core, PyTorch provid…
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@jmtsuji Is there any quick read-level way of detecting if there is a high likelihood of multiple genomes being present before assembly? If my employers commercialize this, there is a high probability…
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cc @alanlujan91
This article outlines `Bayesian Optimization`, a method of computing $x$ that optimizes $f(x)$ when $f(x)$ is hard to sample and non-differentiable.
https://towardsdatascience.c…