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WarvitoWarvito
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Remove TODOs (#310)
Signed-off-by: Walter Hugo Lopez Pinaya <ianonimato@hotmail.com>
1 parent e135f42 commit 7d02598

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‎tutorials/generative/2d_autoencoderkl/2d_autoencoderkl_tutorial.ipynb‎

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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "6f87583c",
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"metadata": {},
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"outputs": [],
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"source": [
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"# TODO: Add buttom with \"Open with Colab\""
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},
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{
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"cell_type": "markdown",
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"id": "2caa73e1",

‎tutorials/generative/2d_autoencoderkl/2d_autoencoderkl_tutorial.py‎

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#
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#
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# TODO: Add buttom with "Open with Colab"
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# -
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# ## Set up environment using Colab
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# !pip install -q "monai-weekly[tqdm]==1.1.dev2239"

‎tutorials/generative/2d_ddpm/2d_ddpm_compare_schedulers.ipynb‎

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"[3] - PNDM - Liu et al. \"Pseudo Numerical Methods for Diffusion Models on Manifolds\" https://arxiv.org/abs/2202.09778\n",
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"\n",
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"TODO: Add Open in Colab\n",
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"## Setup environment"
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"from tqdm import tqdm\n",
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"\n",
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"from generative.inferers import DiffusionInferer\n",
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"\n",
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"# TODO: Add right import reference after deployed\n",
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"from generative.networks.nets import DiffusionModelUNet\n",
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"from generative.networks.schedulers import DDIMScheduler, DDPMScheduler, PNDMScheduler\n",
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"\n",

‎tutorials/generative/2d_ddpm/2d_ddpm_compare_schedulers.py‎

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# [3] - PNDM - Liu et al. "Pseudo Numerical Methods for Diffusion Models on Manifolds" https://arxiv.org/abs/2202.09778
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#
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#
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# TODO: Add Open in Colab
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#
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# ## Setup environment
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from tqdm import tqdm
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from generative.inferers import DiffusionInferer
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# TODO: Add right import reference after deployed
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from generative.networks.nets import DiffusionModelUNet
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from generative.networks.schedulers import DDIMScheduler, DDPMScheduler, PNDMScheduler
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‎tutorials/generative/2d_ddpm/2d_ddpm_inpainting.ipynb‎

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"[2] - Lugmayr et al. \"RePaint: Inpainting using Denoising Diffusion Probabilistic Models\" https://arxiv.org/abs/2201.09865\n",
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"\n",
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"TODO: Add Open in Colab\n",
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"## Setup environment"
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"from tqdm import tqdm\n",
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"\n",
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"from generative.inferers import DiffusionInferer\n",
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"# TODO: Add right import reference after deployed\n",
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"from generative.networks.nets import DiffusionModelUNet\n",
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"from generative.networks.schedulers import DDPMScheduler\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.6"
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‎tutorials/generative/2d_ddpm/2d_ddpm_inpainting.py‎

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# extension: .py
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# format_name: percent
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# jupytext_version: 1.14.4
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#
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# [2] - Lugmayr et al. "RePaint: Inpainting using Denoising Diffusion Probabilistic Models" https://arxiv.org/abs/2201.09865
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#
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# TODO: Add Open in Colab
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#
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# ## Setup environment
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from tqdm import tqdm
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from generative.inferers import DiffusionInferer
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# TODO: Add right import reference after deployed
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from generative.networks.nets import DiffusionModelUNet
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from generative.networks.schedulers import DDPMScheduler
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‎tutorials/generative/2d_ddpm/2d_ddpm_tutorial.ipynb‎

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"[1] - Ho et al. \"Denoising Diffusion Probabilistic Models\" https://arxiv.org/abs/2006.11239\n",
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"## Setup environment"
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"from generative.inferers import DiffusionInferer\n",
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"# TODO: Add right import reference after deployed\n",
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"from generative.networks.nets import DiffusionModelUNet\n",
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‎tutorials/generative/2d_ddpm/2d_ddpm_tutorial.py‎

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# extension: .py
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#
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# [1] - Ho et al. "Denoising Diffusion Probabilistic Models" https://arxiv.org/abs/2006.11239
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from generative.inferers import DiffusionInferer
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from generative.networks.nets import DiffusionModelUNet
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from generative.networks.schedulers import DDPMScheduler
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‎tutorials/generative/2d_ddpm/2d_ddpm_tutorial_ignite.ipynb‎

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"[1] - Ho et al. \"Denoising Diffusion Probabilistic Models\" https://arxiv.org/abs/2006.11239\n",
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