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
  ☆79Updated 3 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 7 years ago
• bobchennan / VAE_NBP
  Variational Auto-encoder with Non-parametric Bayesian Prior
  ☆43Updated 8 years ago
• naoto0804 / pytorch-VAT
  Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].
  ☆26Updated 7 years ago
• rcalland / deep-INFOMAX
  Chainer implementation of deep-INFOMAX
  ☆34Updated 6 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 9 years ago
• yandexdataschool / gumbel_lstm
  Experiments with binary LSTM using gumbel-sigmoid
  ☆30Updated 5 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆70Updated 7 years ago
• vodp / py-kmm
  A Python implementation of Kernel Mean Matching data reweighting algorithm
  ☆32Updated 9 years ago
• weihua916 / imsat
  Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"
  ☆80Updated 5 years ago
• udibr / noisy_labels
  TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
  ☆118Updated 8 years ago
• JunwenBai / MPVAE
  MPVAE: Multivariate Probit Variational AutoEncoder for Multi-Label Classification
  ☆31Updated 7 months ago
• chihkuanyeh / C2AE
  The implementation the paper 'Learning Deep Latent Spaces for Multi-Label Classifications' in AAAI 2017
  ☆27Updated 7 years ago
• tijiang13 / Semi-supervised-VAE
  ☆25Updated 6 years ago
• sidak / context-mover-distance-and-barycenters
  Code accompanying our paper at AISTATS 2020
  ☆21Updated 4 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 5 years ago
• microsoft / EDDI
  Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE
  ☆40Updated last year
• GuHY777 / SS-VAE-pytorch
  The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
  ☆17Updated 6 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• wzell / mann
  Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)
  ☆60Updated last year
• rpryzant / proxy-a-distance
  Proxy A-Distance algorithm for measuring domain disparity in parallel corpora
  ☆47Updated 2 years ago
• aburnap / Mixed-Membership-Stochastic-Blockmodel
  Mixed Membership Stochastic Blockmodel Implementation with 3 Inference Schemes
  ☆24Updated 9 years ago
• RobRomijnders / ssl_graph
  Semi supervised learning on graphs
  ☆35Updated 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
  ☆87Updated 3 years ago
• GuokaiLiu / Noisy-Labels-Problem-Collection
  This is a collection of Papers and Codes for Noisy Labels Problem.
  ☆63Updated 7 years ago
• mmazeika / glc
  Gold Loss Correction
  ☆87Updated 6 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• haebeom-lee / amtfl
  Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)
  ☆14Updated 6 years ago
• wmkouw / libTLDA
  Library of transfer learners and domain-adaptive classifiers.
  ☆91Updated 6 years ago