Deep learning for recommender systems
deep-autoencoders 开源项目推荐(12 个)
deep-autoencoders 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 全部 12
GitHub 共 12 个仓库,已全部展示Convolutional AutoEncoder application on MRI images
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.
Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease
Training Deep AutoEncoders for Collaborative Filtering
An Autoencoder Model to Create New Data Using Noisy and Denoised Images Corrupted by the Speckle, Gaussian, Poisson, and impulse Noise.
Deep Learning in Finance with Keras tutorials. - NVIDIA Deep Learning Institute workshop (Frankfurt, 2019)
Comparison of dimensionality reduction ability of different autoencoders on different datasets.
This is first ever DNN using pretaining for Voice conversion.
该项目在 GitHub 上没有填写描述
Simple implementation of Autoencoder with mxnet and scala.
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 12 个项目;原始页面见 https://github.com/topics/deep-autoencoders。
- 该话题在 GitHub 上共有 12 个仓库, 本站收录的是其中最热门的 12 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 12 个项目累计 1943 Star,覆盖 3 种主要语言,数据更新于 2026-11-07。
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