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garbage_classify icon garbage_classify

最严垃圾分类政策自7月1日颁布,如何进行垃圾分类已经成为居民生活的灵魂拷问。但是,没关系!AI在垃圾分类的应用可以成为居民的得力助手。本次垃圾分类挑战杯,目的在于构建基于深度学习技术的图像分类模型,实现垃圾图片类别的精准识别,大赛参考深圳垃圾分类标准,按可回收物、厨余垃圾、有害垃圾和其他垃圾四项分类。本项目包含完整的分类网络、数据增强、SVM等各种分类增强策略,后续还会继续更新新的分类技巧。

generative-models icon generative-models

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

generative-models-1 icon generative-models-1

Generative models (GAN, VAE) implemented with Pytorch, Pytorch_lightning and hydra.

generative_models icon generative_models

Implementations of fundamental deep generative models. Currently: Autoregressive models, VAEs, GANs, and Diffusion models.

ggp-spc icon ggp-spc

Solving Inverse Computational Imaging Problems Using Deep Generative Gradient of Priors

glid-3 icon glid-3

combination of OpenAI GLIDE and Latent Diffusion

glide-text2im icon glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

gp_sde icon gp_sde

Rough implementation of Hegde's sde gp (without second gp)

gp_sinkhorn icon gp_sinkhorn

GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134

hellodjango-blog-tutorial icon hellodjango-blog-tutorial

免费带你学 django 全栈!基于 django 2.2 的个人博客,初学者绝对不能错过的 django 教程!。◕ᴗ◕。

hpo_measures icon hpo_measures

Testing different complexity measures as objective functions for HPO

hvae icon hvae

Hierarchical Variational Autoencoder in pytorch

hybrid_rvae icon hybrid_rvae

pytorch implementation of "A Hybrid Convolutional Variational Autoencoder for Text Generation" Paper

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