Alternatives and similar repositories for TNRDMTL

Users that are interested in TNRDMTL are comparing it to the libraries listed below

• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆80Updated 3 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• thomlake / pytorch-attention
  pytorch neural network attention mechanism
  ☆147Updated 6 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 8 years ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆32Updated 9 months ago
• yandexdataschool / gumbel_lstm
  Experiments with binary LSTM using gumbel-sigmoid
  ☆30Updated 5 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• weihua916 / imsat
  Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"
  ☆80Updated 5 years ago
• sebastianruder / sluice-networks
  Code for Sluice networks: Learning what to share between loosely related tasks
  ☆153Updated 6 years ago
• chihkuanyeh / C2AE
  The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
  ☆27Updated 8 years ago
• t-sakai-kure / pywsl
  Python codes for weakly-supervised learning
  ☆124Updated 5 years ago
• emalach / UpdateByDisagreement
  code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]
  ☆21Updated 7 years ago
• ksenia-konyushkova / LAL
  This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
  ☆88Updated 3 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 7 years ago
• naoto0804 / pytorch-VAT
  Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
  ☆26Updated 7 years ago
• rpryzant / proxy-a-distance
  Proxy A-Distance algorithm for measuring domain disparity in parallel corpora
  ☆47Updated 2 years ago
• shahsohil / DCC
  This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
  ☆214Updated 4 years ago
• herandy / DEPICT
  ☆58Updated 7 years ago
• Newbeeer / Max-MIG
  Code for ICLR 2019 Paper, "MAX-MIG: AN INFORMATION THEORETIC APPROACH FOR JOINT LEARNING FROM CROWDS"
  ☆25Updated 2 years ago
• haebeom-lee / amtfl
  Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)
  ☆14Updated 6 years ago
• QData / LaMP
  ECML 2019: Graph Neural Networks for Multi-Label Classification
  ☆90Updated last year
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 5 years ago
• dbrojas / domain_adapt
  Domain adaptation networks for digit recognitioning
  ☆14Updated 7 years ago
• vithursant / VAE-Gumbel-Softmax
  An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…
  ☆72Updated 7 years ago
• rcalland / deep-INFOMAX
  Chainer implementation of deep-INFOMAX
  ☆34Updated 6 years ago
• eelxpeng / UnsupervisedDeepLearning-Pytorch
  This repository tries to provide unsupervised deep learning models with Pytorch
  ☆90Updated 7 years ago
• wlwkgus / DeepSpectralClustering
  Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper
  ☆93Updated 6 years ago
• yamaguchiyuto / label_propagation
  Implementations of label propagation like algorithms
  ☆82Updated 8 years ago