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adda

atom

:atom: The hackable text editor

awesome-aiops

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

awesome-graph-classification

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

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bigdata18

Transfer learning for time series classification

causaldiscoverytoolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

causalinference.jl

Causal inference, graphical models and structure learning with the PC algorithm.

changepy

Time series changepoint detection

concept-drift

Algorithms for detecting changes from a data stream.

ctr_prediction

CTR prediction using FM FFM and DeepFM

da

Domain Adaptation Papers and Code

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

ddc-transfer-learning

A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deepmmd-gan

Yet another (very simple) approach for adversarial training.

demo-batch-markdown-to-pdf

density_ratio_estimation

This is an implementation of direct density ratio estimation by unconstrained Least-Squares Importance Fitting (uLSIF) with python.

dgmr

Skilful precipitation nowcasting using deep generative models of radar

dl-rerank

domain_adaptation

this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist.

domain_adaptation-1

traditional domain adaptation methods (e.g., GFK, TCA, SA)

drcn

dsn

Pytorch implementation of Domain Separation Networks

e-book-collections

Some e-books I have read and recommended.

fewshot_absa

A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

gnnetworkingchallenge

RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)