ying-2016 Goto Github PK

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3catn

Cycle-consistent Conditional Adversarial Transfer Networks, ACM MM 2019

adversarial-autoencoder

A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

alda

Code for "Adversarial-Learned Loss for Domain Adaptation"(AAAI2020) in PyTorch.

amazingtransferlearning

astnn

bellwether

Simpler Transfer Learning (Using "Bellwethers"). ARXIV link: https://arxiv.org/abs/1703.06218

bug-number-prediction

Predicting the Number of Reported Bugs in a Software Repository

buglocalization-dataset

cksca

GitHub Dataset

class-balanced-loss

Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

code4bench

Code4Bench: A Mutildimensional Benchmark of Codeforces Data for Different Program Analysis Techniques

cudp

datacontext

Data context for software engineering

dda

Discriminative distribution alignment: A unified framework for heterogeneous domain adaptation. Pattern Recognition 2020.

deep-co-training-for-semi-supervised-image-recognition

Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepjtt_msr

deepnet

Implementation of some deep learning algorithms.

defect_prediction_online

defectdata

An R package of Defect Prediction Datasets for Software Engineering Research

discriminatordomainadaptation

drsl

The source code of DRSL: Deep Relational Similarity Learning for Cross-modal Retrieval

eaposter

Effort-aware ICSE2018 poster scripts and data

early-defect-prediction-tse

eml-project

esem2016

Artefacts for ESEM2016 paper

evaluation-weka

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'