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Search results for python deep generative model
deep-generative-model
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python
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21 search results found
Nuwave
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210
NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021
Sketchedit
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181
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022
Dgm_latent_bow
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106
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
Attackvlm
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79
Code of the paper: On Evaluating Adversarial Robustness of Large Vision-Language Models
Ddpm Torch
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73
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
Sqvae
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57
Pytorch implementation of stochastically quantized variational autoencoder (SQ-VAE)
Pcc Pytorch
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55
A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
Nanoflow
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53
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity."
Roundtrip
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48
Roundtrip: density estimation with deep generative neural networks
Geoldm
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38
Geometric Latent Diffusion Models for 3D Molecule Generation
Causalegm
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35
A General Causal Inference Framework by Encoding Generative Modeling
Ocr Vqgan
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32
OCR-VQGAN, a discrete image encoder (tokenizer and detokenizer) for figure images in Paper2Fig100k dataset. Implementation of OCR Perceptual loss for clear text-within-image generation. Fork from VQGAN in CompVis/taming-transformers
Gumbel Crf
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32
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
Pyrovelocity
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31
𝒫robabilistic modeling of RNA velocity ⬱
Mfcvae
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31
[NeurIPS 2021] 🏁 Multi-Facet Clustering Variatonal Autoencoders (MFCVAE) 🏁 A class of variational autoencoders to find multiple disentangled clusterings of data. Official PyTorch implementation.
San
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28
PyTorch implementation of slicing adversarial network (SAN)
Gradient Boosted Normalizing Flows
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21
We got a stew going!
Klcpd_code
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21
Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)
Das
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20
DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations
Efficientmorl
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18
EfficientMORL (ICML'21)
Pytorch Vae
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18
A minimal pytorch implementation of VAE, IWAE, MIWAE
Face A Normalizing Flow Based Cardinality Estimator
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17
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
Collaborative Gan Sampling
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15
[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks
Vega
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8
VEGA: VAE Enhanced by Gene Annotations
V Diffusion Torch
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7
PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
Neurocard
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7
State-of-the-art neural cardinality estimators for join queries
Molecular_synthesis_and_reconstruction
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5
Deep Learning And Applied Artificial Intelligence Project 2019/2020 - Molecular Synthesis & Reconstruction
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