hanfeng-cdd

12306

12306智能刷票，订票

adversarial-robustness-toolbox

This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/

ATDA-1

Adversarial Training with Domain Adaptation on Fashion-MNIST, SVHN, CIFAR-10 and CIFAR-100

AutoBuyScripts

淘宝等网站抢购脚本

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

caj2pdf

Convert CAJ (China Academic Journals) files to PDF. 转换**知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。

CDAN

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

DA

Domain Adaptation Papers and Code

DREML

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

fastai

The fastai deep learning library, plus lessons and and tutorials

HanLP

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

jd_seckill

京东秒杀商品抢购，目前只支持茅台抢购，不支持其他商品！

listen1

one for all free music in china (origin edition)

M-ADDA

Domain Adaptation Based on the Triplet Loss

MCD_DA

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

pcl-adversarial-defense

Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019

pdf2htmlEX

Convert PDF to HTML without losing text or format.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

proxy-nca

PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies` (as introduced by Google Research).

pytorch-histogram-loss

PyTorch implementation for Histogram Loss

pytorch-widedeep

A flexible package to combine tabular data with text and images using Wide and Deep models in Pytorch

shadowsocks-android

A shadowsocks client for Android

Survey_of_Deep_Metric_Learning

A comprehensive survey of deep metric learning and related works

TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow

test

THULAC-Python

An Efficient Lexical Analyzer for Chinese

vision

Datasets, Transforms and Models specific to Computer Vision