hosseinshn / Basic-Multi-task-LearningLinks
This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
☆137Updated 7 years ago
Alternatives and similar repositories for Basic-Multi-task-Learning
Users that are interested in Basic-Multi-task-Learning are comparing it to the libraries listed below
Sorting:
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Updated 7 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆47Updated 6 years ago
- ☆148Updated 3 years ago
- multilabel-learn: Multilabel-Classification Algorithms☆36Updated 5 years ago
- A pytorch implementation of Capsule Network.☆99Updated last year
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Updated 4 years ago
- Awesome Multitask Learning Resources☆671Updated 4 years ago
- Transfer Learning Toolkit for Primary Researchers☆106Updated 4 years ago
- ☆19Updated 5 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆91Updated last year
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆75Updated 6 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆109Updated 4 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 5 years ago
- A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.☆148Updated 6 years ago
- [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
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆91Updated 6 years ago
- Multi-head attention in PyTorch☆154Updated 6 years ago
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆110Updated last year
- Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task☆47Updated 4 years ago
- The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks☆343Updated 7 years ago
- Stacked Denoising AutoEncoder☆80Updated 6 years ago
- Implementaion of Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction☆123Updated 4 years ago
- some basic deep learning models/method for nlp, text classification.☆80Updated 5 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"☆95Updated 5 years ago
- The python implementation of tri-triaing☆51Updated 6 years ago
- Multi-task learning for image classification implemented in PyTorch.☆99Updated 7 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- 图卷积神经网络 Graph Convolutional Network with Keras☆162Updated 2 years ago