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adversarial_autoencoder

A wizard's guide to Adversarial Autoencoders

autoencoders

Torch implementations of various types of autoencoders

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-public-datasets

A topic-centric list of HQ open datasets. PR ☛☛☛

cnn_model

codes

codinginterviewchinese2

《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

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，近30万字。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

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.

dn4

The code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

gaitset

A flexible, effective and fast cross-view gait recognition network

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

learningtocompare_zsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

matching-networks-pytorch

Matching Networks for one shot learning

matchingnetworks

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

mcd_da

mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

neural-network-from-scratch

A Neural Network implemented from scratch (using only numpy) in Python.

omniglot

Omniglot data set for one-shot learning

one-shot-siamese

A PyTorch implementation of "Siamese Neural Networks for One-shot Image Recognition".

powertoys

Windows system utilities to maximize productivity

pytorch-ssim

pytorch structural similarity (SSIM) loss

pytorch-tutorial

Build your neural network easy and fast

recurrent-visual-attention

A PyTorch Implementation of "Recurrent Models of Visual Attention"

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

siamese-neural-networks-for-one-shot-image-recognition-implement-on-pytorch

sosn-wacv19-master

Implementation of WACV2019 paper "Power Normalizing Second-order Similarity Network for Few-shot Learning"

svmpy

Basic soft-margin kernel SVM implementation in Python

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)