Alternatives and similar repositories for AMTL

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

• JunYongJeong / VSTG-MTL
  Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)
  ☆13Updated 5 years ago
• argyriou / multi_task_learning
  Multi-task feature learning
  ☆15Updated 7 years ago
• chcorbi / MultiTaskLearning
  Package to apply MTL on a few dataset
  ☆26Updated 8 years ago
• Philip-Bachman / Pseudo-Ensembles
  Materials for implementing and reproducing results in the NIPS paper.
  ☆23Updated 10 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 6 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 6 years ago
• CW-Huang / HIWAE
  code for hierarchical importance weighted autoencoders
  ☆11Updated 6 years ago
• aniketde / DomainGeneralizationMarginal
  ☆15Updated 7 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 5 years ago
• limbo018 / FRU
  ☆40Updated 6 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• CPJKU / deep_lda
  Implementation of Deep Linear Discriminant Analysis (DeepLDA)
  ☆48Updated 9 years ago
• DavideNardone / Greedy-Adaptive-Dictionary
  Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.
  ☆11Updated 6 years ago
• K-Mitsuno / hierarchical-group-sparse-regularization
  Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
  ☆12Updated 5 years ago
• Jiaolong / DA-SVMs
  Various SVM based methods for domain adaptation
  ☆10Updated 10 years ago
• hongyanz / multibranch
  Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"
  ☆20Updated 4 years ago
• apsarath / NRU
  ☆22Updated 6 years ago
• kevinlyu / Wasserstein-Adversarial-Domain-Adaptation
  Wasserstein Based Domain Adaptation Model
  ☆46Updated 6 years ago
• VahidooX / DeepLDA
  An implementation of Deep Linear Discriminant Analysis (DeepLDA) in Keras
  ☆41Updated 7 years ago
• aditya-grover / uae
  Uncertainty Autoencoders, AISTATS 2019
  ☆55Updated 6 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 5 years ago
• jindongwang / tf-dann
  Domain-Adversarial Neural Network in Tensorflow
  ☆37Updated 6 years ago
• thuml / MTlearn
  Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
  ☆71Updated 7 years ago
• BorgwardtLab / WTK
  A Wasserstein Subsequence Kernel for Time Series.
  ☆21Updated last year
• dizam92 / pyTorchReg
  Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.
  ☆38Updated 3 years ago
• Orkis-Research / Quaternion-Recurrent-Neural-Networks
  This is the code for the paper 'Quaternion Recurrent Neural Networks'.
  ☆59Updated 6 years ago
• kiankd / corel2019
  Code for AAAI 2019 Network Interpretability workshop paper
  ☆16Updated 4 years ago