This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
☆137Sep 23, 2018Updated 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:
- 旨在搭建一个分类问题在Pytorch框架下的通解,批量解决单任务多分类问题、多任务多分类问题。☆20Mar 19, 2020Updated 5 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆837Jan 13, 2022Updated 4 years ago
- 旨在搭建一个分类问题在Pytorch框架下的通解,批量解决单任务多分类问题、多任务多分类问题。☆56Mar 19, 2020Updated 5 years ago
- ☆148Dec 13, 2021Updated 4 years ago
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆870Jul 6, 2020Updated 5 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Jan 14, 2021Updated 5 years ago
- Awesome Multitask Learning Resources☆674Apr 13, 2021Updated 4 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Dec 8, 2022Updated 3 years ago
- Multi-task learning smile detection, age and gender classification on GENKI4k, IMDB-Wiki dataset.☆180Jun 19, 2018Updated 7 years ago
- This code shows how to train a model in Amazon SageMaker using a custom loss function for a binary classification problem in which the co…☆13Feb 21, 2019Updated 7 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Jun 17, 2021Updated 4 years ago
- A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues☆10Aug 18, 2023Updated 2 years ago
- A library for multi-task learning and meta-learning.☆12Feb 7, 2022Updated 4 years ago
- ☆14Jun 1, 2023Updated 2 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆181Nov 2, 2021Updated 4 years ago
- A Tensorflow implementation of the paper arXiv:1604.03539☆134Jul 25, 2018Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42May 29, 2018Updated 7 years ago
- ☆14Apr 23, 2019Updated 6 years ago
- ☆11Oct 9, 2021Updated 4 years ago
- ☆13Jan 2, 2024Updated 2 years ago
- Audio MNIST Classification using 1D-CNN, 2D-CNN, GAN+2D-CNN, CVN+RandomForest, and LSTMs.☆14Dec 7, 2021Updated 4 years ago
- This repo will contain simple tutorials for getting familiar with Pytorch quickly for beginners.☆27Dec 8, 2019Updated 6 years ago
- Implementation of Semi-Supervised and Semi-Weakly Supervised Teacher/Student Learning approaches☆14Jan 18, 2023Updated 3 years ago
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆14Dec 30, 2021Updated 4 years ago
- Shared Task on Short Text Conversation☆14Sep 11, 2017Updated 8 years ago
- The PyTorch version for 'Domain-adversarial similarity-based meta-learning network'.☆17Apr 8, 2022Updated 3 years ago
- A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)☆733Mar 25, 2023Updated 2 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆645Jun 20, 2020Updated 5 years ago
- It contains some of the novel feature selection algorithms I've developed☆13May 21, 2021Updated 4 years ago
- 基于yoloP的三任务模型修改成2任务模型,去掉可行驶区域的实例分割☆15Jun 21, 2022Updated 3 years ago
- Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)☆15Apr 30, 2024Updated last year
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Feb 21, 2019Updated 7 years ago
- Simple implementation of MUltiple SIgnal Classification☆14Jan 30, 2016Updated 10 years ago
- Feature selection for deep learning models.☆14Jan 9, 2021Updated 5 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Jun 3, 2019Updated 6 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆729Feb 7, 2022Updated 4 years ago
- A PyTorch Library for Multi-Task Learning☆2,523May 14, 2025Updated 9 months ago
- ☆21Feb 5, 2024Updated 2 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Jul 26, 2020Updated 5 years ago