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Any way you could update your samples to run on the latest nuget versions and also update them to use .net 8?
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Hi, thank you for your interesting DIM model and the open-source code.
However, I am confused about the realization of prior matching part https://github.com/rdevon/DIM/blob/bac4765a8126746675f517c…
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Excuse me, I would like to ask, what graphics card are you using on google colab, what is the size of the video memory, I use the free one on colab, the video memory is 16G, and the batchsize can only…
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The pyglment package gives different estimated coefficients for linear regression depending on which solver you select (e.g. cdfast or batch-gradient). Neither solver agrees with sklearn (I believe th…
idc9 updated
2 months ago
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在看源码的过程中发现了一点小问题
1. wgan_train.py源码还是使用了sigmoid再做cross_entro_loss,但是WGAN应该直接返回Discrimintaror的输出logits作为loss
```
def d_loss_fn(generator, discriminator, batch_z, real_image):
fake_image = gen…
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## 🚀 Feature
Computing higher-order gradients has several use cases, i.e. applying a local gradient penalty before running the backwards pass. However, DDP doesn't have great support for higher-order…
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I've applied the WGAN algorithm implemented in torchsde/example/sde_gap.py to sine function (deterministic with fixed initial conditions). After 30000 learning epochs we can see that algorithm strugg…
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Hi, I can get good results with cyclegan in 'lsgan' mode on horse2zebra dataset, but when I change the gan mode to 'wgangp' and follow your codes:
self.loss_gp, gradients = cal_gradient_penalty()...
…
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## Description:
I encountered a `MemoryError` while solving a problem that involves a large number of decision variables and parameters. The error appears when the problem size exceeds 16 decision …
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Currently, we directly backpropagate through the tangent vector field calculation, which involves a Newton solve to find the minimum of a convex quadratic objective. It may be more efficient to define…