Pinned Repositories
3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
caffe
Caffe: a fast open framework for deep learning.
DA
Unsupervised Domain Adaptation Papers and Code
Episodic-DG
This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
mean-teacher
A state-of-the-art semi-supervised method for image recognition
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
MLDG
The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
HAHA-DL's Repositories
HAHA-DL/MLDG
The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf
HAHA-DL/Episodic-DG
This is the repo for the paper "Episodic Training for Domain Generalization" https://arxiv.org/abs/1902.00113
HAHA-DL/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
HAHA-DL/transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
HAHA-DL/3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
HAHA-DL/arxiv-style
A Latex style and template for paper preprints (based on NIPS style)
HAHA-DL/caffe
Caffe: a fast open framework for deep learning.
HAHA-DL/DA
Unsupervised Domain Adaptation Papers and Code
HAHA-DL/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
HAHA-DL/mean-teacher
A state-of-the-art semi-supervised method for image recognition
HAHA-DL/models
Models and examples built with TensorFlow
HAHA-DL/summer
HAHA-DL/vision
Datasets, Transforms and Models specific to Computer Vision