torchsde
pix2pixHD
torchsde | pix2pixHD | |
---|---|---|
5 | 6 | |
1,473 | 6,530 | |
2.0% | 0.5% | |
4.8 | 0.0 | |
7 months ago | 11 months ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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torchsde
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Google Research • Differentiable SDE solvers with GPU support and efficient sensitivity analysis in PyTorch. For stochastic differential equations in your deep learning models
Github: https://github.com/google-research/torchsde
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[D] Ideal deep learning library
So not just that paper, but also our follow-up papers on the same topic: Neural SDEs as Infinite-Dimensional GANs Efficient and Accurate Gradients for Neural SDEs are in fact implemented in PyTorch, specifically the torchsde library. (Disclaimer: of which I am a developer.)
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[D] Is there any way for GAN to generate arbitrary length of time series signal?
Code: SDE-GAN example in torchsde.
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[P] Final Year Computer Science Project Suggestions
If you're interested in finance then I'd recommend Neural SDEs: https://arxiv.org/abs/2102.03657 https://arxiv.org/abs/2105.13493 https://github.com/google-research/torchsde/blob/master/examples/sde_gan.py
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Simple & Fast GAN Training [D]
This may or may not fit what you're after.
pix2pixHD
- How do I run more than 200 epochs in training a Pix2PixHD model?
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NVIDIA DLSS Now Available in Over 150 Games, Including Dying Light 2 Stay Human, Sifu and Phantasy Star Online 2 New Genesis
Well, maybe not, considering things like pix2pix can generate detail from just solid shapes and colors.
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Image to hand drawn
Sources: U2Net, ArtLine, Pix2PixHD, APDrawingGAN
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[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)
Pix2PixHD (from DeepSIM)
Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!
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How to access a class object when I use torch.nn.DataParallel()?
I used Pix2PixHD implementation in GitHub if you want to see the full code.
What are some alternatives?
torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
pysindy - A package for the sparse identification of nonlinear dynamical systems from data
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
sofgan - [TOG 2022] SofGAN: A Portrait Image Generator with Dynamic Styling
SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch
NeuralCDE - Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
functorch - functorch is JAX-like composable function transforms for PyTorch.
contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)