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adversarial-autoencoder

Chainer implementation of adversarial autoencoder (AAE)

adversarial-autoencoders

Tensorflow implementation of Adversarial Autoencoders

adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

autoencoders

Torch implementations of various types of autoencoders

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

cpsl

Official pytorch implementation of CPSL: class-balanced pixel-level self-labeling for domain adaptive semantic segmentation (CVPR 2022)

cvpr2022-paper-code-interpretation

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-subspace-clustering-networks

deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

deeplearning_ai_books

deeplearning_ai_books

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deformable-convnets

Deformable Convolutional Networks

design-resource

A list of design resources.

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

dynamask

Official pytorch implementation of DynaMask: Dynamic Mask Selection for Instance Segmentation (CVPR 2023)

fmr

CODE of Flexible Multi-View Representation Learning for Subspace Clustering

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

generative.py

wGAN

ifc

Video Instance Segmentation using Inter-Frame Communication Transformers (NeurIPS 2021)

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

interview_notes-chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记

kmbox

Kernel Methods Toolbox for Matlab/Octave

liruihuang

lslrh.github.io

Ruihuang Li's Homepage

ltc-msda

Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

mdmm

Learning multi-domain multi-modality I2I translation

multi-view