Stars
《他改变了中国----江泽民传》 在线文档 zip压缩包解压密码： JIANGZEMIN
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Release for Improved Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
A Collection of Variational Autoencoders (VAE) in PyTorch.
Code accompanying our paper at AISTATS 2020
Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Dos Santos, Tom Sercu
A curated list of image inpainting and video inpainting papers and resources
Translate images to unseen domains in the test time with few example images.
A collection of awesome resources image-to-image translation.
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
Automated deep learning algorithms implemented in PyTorch.
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
The State of War (2001) Map editor.
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
A comprehensive collection of recent papers on graph deep learning
links to conference publications in graph-based deep learning
cross-platform (Qt), open-source (GPLv3) video editor
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Graph Neural Network Library for PyTorch
Four-in-one deep network: image search, image captioning, similar words and similar images using a single model
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @ZJU
2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so…