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acmr

reproduce the results of Adversarial Cross-Modal retrieval (ACMR)

acmr-demo

basic modal for cross-modal-retrieval

canonical-correlation-and-its-variants

This repository has the code for the Canonical Correlation and its Variants : found at the paper "Cluster Canonical Correlation Analysis"

cca-images-text

Canonical Correlation Analysis for joint representations of images and tags

cca-images-text-1

classifying_cancer_resnet18_pytorch

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

cross-modal-retrieval

Cross-Modal Retrieval, triplet loss, Pytorch, Resnet18, Bert, Deep Hashing

crossmodal

Python code for the cross-modal retrieval system proposed at ACM MM '10 in "A New Approach to Cross-Modal Multimedia Retrieval"

cutlass

CUDA Templates for Linear Algebra Subroutines

deepcca

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

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

dogsvscats-resnet18

use torchvision models ResNet18 to implement Kaggle's dogs vs. cats task

essentialcpp-1

Essential C++ 学习笔记

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

games

Some games created by python code.

gasa

Fine-Grained Cross-Modal Retrieval based on generative and adversarial network

gcca

Generalized Canonical Correlation Analysis

gitignore

A collection of useful .gitignore templates

image_classification_pytorch

Pytorch实践简单， 方便， 快速训练 图像分类模型

mhtn_tcyb2018

Source code of our IEEE TCYB 2018 paper "MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval"

mica-deep-mcca

Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets

mine

mine-1

my MINE implementation [DV, fGAN, infoNCE]

mmdetection

OpenMMLab Detection Toolbox and Benchmark

myrep

pykcca

Python implementation of Kernel Canonical Correlation Analysis

pyrcca

Regularized kernel canonical correlation analysis in Python

pytorch-cifar-models

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

pytorch-image-classification

use pytorch to do image classfiication tasks