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100days-ml-code

100天机器学习 （翻译+ 实操）

2019-ccf-bdci-car_sales

2019年CCF大数据与计算智能大赛乘用车细分市场销量预测冠军解决方案

adv-attacks-vae

Code to reproduce the experiments of the paper "Adversarial Attacks on Variational Autoencoders" - Gondim-Ribeiro et al., 2018.

advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarial-attack-on-gmm-i-vector-based-speaker-verification-systems

Implementation of Adversarial Attacks on GMM i-vector based Speaker Verification Systems (ICASSP2020) https://arxiv.org/abs/1911.03078

adversarial-contrastive-learning

[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

adversarial-recommender-systems-survey

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

adversarialattack

Creating an Adversarial Attack and Implementing Techniques to prevent them

advt4ne_www2019

Adversarial Training Methods for Network Embedding, WWW2019.

altair

Declarative statistical visualization library for Python

apachecn-dl-zh

ApacheCN 深度学习译文集

attack_vae

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks

awesome-federated-learning

Federated Learning Library: https://fedml.ai

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-network-analysis

A curated list of awesome network analysis resources.

awesome-network-embedding

A curated list of network embedding techniques.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

baobunuo.github.io

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bert

TensorFlow code and pre-trained models for BERT

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

bipartitesbm

Heuristic and inference engine for estimating the number of communities in a bipartite network

buaathesis

北航毕设论文LaTeX模板

c4.5

an implementation of the C4.5 algorithm in Java

cail2019

相似案例匹配

chinese_rumor_dataset

中文谣言数据

clustering-with-deep-learning

Generic implementation for clustering with deep learning : representation learning (DNN) + clustering

clustering.jl

A Julia package for data clustering

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit