Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

auto-encoder 开源项目推荐(91 个)
auto-encoder 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 91 个仓库这个仓库的目的是在我网站上写的概念验证(PoC)和研发(R&D)背景下,制作原型作为案例研究。主要研究主题包括与表示学习相关的自编码器、基于能量模型的统计机器学习、对抗生成网络(GAN)、深度强化学习(如深度Q网络)、半监督学习以及用于自然语言处理的神经网络语言模型。
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
Learn time-series anomaly detection from z-scores to state-of-the-art deep models: runnable notebooks, honest evaluation, real-world case studies.
Experiments on unsupervised point cloud reconstruction.
一个用于天气和气候数据的大型压缩模型,将一个400+ TB的ERA5数据集压缩到一个新的0.8TB的CRA5数据集中。
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Implementation of a 3D Face Generative Model
Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类st-dbscan做异常检测
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
Face enhancer - Denoising Auto Encoder by Tensorflow and Keras and skimage
Custom PyTorch model (VGG-16 Auto-Encoder) and custom criterion (Local Aggregation) for image clustering. The repo contains elaborated creation of fungi image data using factory method.
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.
Programming assignments and labs from the TensorFlow Advanced Techniques Specialization offered by deeplearning.ai on Coursera.
The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.
Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'
Learning Embedding of 3D models with Quadric Loss
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/auto-encoder。
- 该话题在 GitHub 上共有 91 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2738 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。