All NLP you Need Here. 目前包含15个NLP demo的pytorch实现(大量代码借鉴于其他开源项目,原先是自己玩的,后来干脆也开源出来)
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Updated
Jun 5, 2024 - Python
All NLP you Need Here. 目前包含15个NLP demo的pytorch实现(大量代码借鉴于其他开源项目,原先是自己玩的,后来干脆也开源出来)
本项目实现了一种基于 VAE-CycleGAN 的图像重建无监督缺陷检测算法。该算法结合了变分自编码器 (VAE) 和 CycleGAN 的优势,无需标注数据即可检测图像中的缺陷/异常。This project implements an unsupervised defect detection algorithm for image reconstruction based on VAE-CycleGAN. This algorithm combines the advantages of variational autoencoders (VAE) and CycleGAN to detect defects in images without any supervision.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
This is a "fork" of the Genhack3 repo for the Demeter's vision team solution.
A VAE-GAN model designed for learning 3d shape from a single 2d image. Trained on ShapeNetCore Dataset
Implementations of various Deep Learning models in PyTorch and TensorFlow.
This is a simplified implementation of VQ-GANs written in PyTorch. The architecture is borrowed from the paper "Taming Transformers for High-Resolution Image Synthesis".
Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
cVAE, VQ-VAE, VQ-VAE2, cVAE-cGAN, PixelCNN and Gated PixelCNN in tensorflow 2.x and keras
Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Investigate mapping of articulations from the image space to the latent space using neural networks.
VAE implementation for Deep Generative Models course
Handwritten Digit Generation with VAE and GAN are applied.
The semi-supervised GAN, or SGAN, model is an extension of the GAN architecture that involves the simultaneous training of a supervised discriminator, unsupervised discriminator, and a generator model. The result is both a supervised classification model that generalizes well to unseen examples and a generator model that outputs plausible exampl…
NLP Modeling for Paraphrase Generation
Official implementation of Action-Conditioned Frame Prediction Without Discriminator
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