yutpa Goto Github PK

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

activityrecognition

Resources about activity recognition-行为识别资料

adaptively-connected-neural-networks

A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"

alae

[CVPR2020] Adversarial Latent Autoencoders

algorithm_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，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

arcface-pytorch

arl

The pytorch implement for Attention Residual Learning for Skin Lesion Classification

at_he

attention-augmented-conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

attentiongan

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

augmentation_code

Reproducible code for Augmentation paper

autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

awesome-data-augmentation

This is a list of awesome methods about data augmentation.

awesome-meta-learning

A curated list of Meta-Learning resources/papers.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

blog-back-up

博客相关文件存储

brain-tokyo-workshop

🧠🗼

cac-openset

Code for Class Anchor Clustering loss for training a distance-based open set classifier

cbam-tensorflow

CBAM implementation on TensowFlow

cifar-zoo

PyTorch implementation of CNNs for CIFAR benchmark

danet

Dual Attention Network for Scene Segmentation (CVPR2019)

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeplearning_tutorials

The deeplearning algorithms implemented by tensorflow

dianet

The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".

diffgrad

diffGrad: An Optimization Method for Convolutional Neural Networks

dropgrad

Regularizing Meta-Learning via Gradient Dropout

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

enlightengan

[Preprint] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang