Alternatives and similar repositories for Pseudo-Label-for-Deep-Neural-Networks

Users that are interested in Pseudo-Label-for-Deep-Neural-Networks are comparing it to the libraries listed below

• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• FuzhenZhuang / Transfer-Learning-Toolkit
  Transfer Learning Toolkit for Primary Researchers
  ☆104Updated 4 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• weitongseu / PU-Learning
  This repo lists some researches and applications in PU learning.
  ☆12Updated 5 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆80Updated 3 years ago
• v-mipeng / ClassImbalanceLearning
  This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019
  ☆16Updated 6 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• jjrob13 / sklearn_cotraining
  An implementation of the Co-Training semi-supervised learning technique from (Blue, Mitchell 1998) that is meant to work well with scikit…
  ☆74Updated 5 years ago
• hosseinshn / Basic-Multi-task-Learning
  This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
  ☆136Updated 6 years ago
• timerstime / SDG4DA
  Selection Distribution Generator for Domain Adaptation
  ☆27Updated 5 years ago
• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆36Updated 5 years ago
• AnthonyMRios / multi-label-zero-shot
  Few- and Zero-shot Multi-Label Learning for Structured Label Spaces
  ☆49Updated 5 years ago
• ej0cl6 / csmlc
  Cost-Sensitive Multi-Label Classification
  ☆19Updated 7 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• GuokaiLiu / Noisy-Labels-Problem-Collection
  This is a collection of Papers and Codes for Noisy Labels Problem.
  ☆63Updated 7 years ago
• hiram64 / temporal-ensembling-semi-supervised
  Keras implementation of temporal ensembling(semi-supervised learning)
  ☆22Updated 6 years ago
• XSilverBullet / Multi-label-Paper
  This document covers various papers about multi-label for reference
  ☆25Updated 5 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 6 years ago
• chihkuanyeh / C2AE
  The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
  ☆28Updated 8 years ago
• dhruvramani / C2AE-Multilabel-Classification
  Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
  ☆98Updated 7 years ago
• eyounx / ASG
  Open category classification by adversarial sample generation
  ☆20Updated 5 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆89Updated 11 months ago
• QData / LaMP
  ECML 2019: Graph Neural Networks for Multi-Label Classification
  ☆90Updated last year
• lijin118 / LLAE
  Low-Rank Linear Autoencoder, LLAE, AAAI 2019, From Zero-Shot Learning to Cold-Start Recommendation
  ☆39Updated 6 years ago
• helloyide / Cross-stitch-Networks-for-Multi-task-Learning
  A Tensorflow implementation of the paper arXiv:1604.03539
  ☆133Updated 7 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• VITA-Group / Self-PU
  [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…
  ☆69Updated 3 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• XifengGuo / DEC-DA
  Deep Embedded Clustering with Data Augmentation (DEC-DA). Performance on MNIST (acc=0.985, nmi=0.960).
  ☆56Updated 6 years ago
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago