Deep Canonical Correlation Analysis with Python
MIT License
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Att...
This is tensorflow implementation for paper "Deep Image Matting"
A scikit-learn compatible implementation of MCA
Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observatio...
Deep & Sparse CCA for Neuroimaging in Tensorflow
Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'
Talk for SciPy2015 "Deep Learning: Tips From The Road"
Awesome Domain Adaptation Python Toolbox
rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。
Implementation of : Semantic Image Inpainting with Perceptual and Contextual Losses Raymond
Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictio...
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 u...
splearn: package for signal processing and machine learning with Python. Contains tutorials on un...
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and...