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thn-buaa's Projects

algo icon algo

数据结构和算法必知必会的50个代码实现

atda icon atda

Implement of Asymmetric Tri-training for Unsupervised Domain Adaptation

awesome-imbalanced-learning icon awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习:论文、代码、框架与库

awesome-msr icon awesome-msr

A curated repository of software engineering repository mining data sets

buaa-logo icon buaa-logo

北京航空航天大学 校徽校名矢量图

cib icon cib

Materials of credibility based imbalance boosting method for software defect proneness prediction

code2vec icon code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

deepcca icon deepcca

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

deeplearntoolbox icon 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.

gbdt_simple_tutorial icon gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

imb-mulan icon imb-mulan

The Mulan Framework with Multi-Label Resampling Algorithms

interview_internal_reference icon interview_internal_reference

2019年最新总结,阿里,腾讯,百度,美团,头条等技术面试题目,以及答案,专家出题人分析汇总。

libfewshot icon libfewshot

LibFewShot: A Comprehensive Library for Few-shot Learning.

owod icon owod

(CVPR 2021 Oral) Open World Object Detection

rebagg icon rebagg

REBAGG: REsampled BAGGing for Imbalanced Regression Tasks - LIDTA 2018

sdaestse icon sdaestse

software defect datasets used in the paper

server icon server

PanDownload的个人维护版本

text-classification icon text-classification

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

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