This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow
☆137Sep 23, 2018Updated 8 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
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 6 years ago
- ☆148Dec 13, 2021Updated 4 years ago
- Relevance, Redundancy, and Complementarity Trade-off, a robust feature selection algorithm☆12Nov 9, 2023Updated 2 years ago
- A lightweight module for Multi-Task Learning in pytorch.☆168Aug 7, 2023Updated 3 years ago
- Awesome Multitask Learning Resources☆673Apr 13, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A multi-task learning example for the paper https://arxiv.org/abs/1705.07115☆872Jul 6, 2020Updated 6 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Jan 14, 2021Updated 5 years ago
- Multi-Task Learning in NLP☆94Jun 5, 2026Updated 5 months ago
- A list of multi-task learning papers and projects.☆390Jan 31, 2022Updated 4 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
- Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning, AAAI-SA'19☆30Sep 23, 2019Updated 7 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Jun 17, 2021Updated 5 years ago
- multi task learning for multi-classification using keras☆13Feb 10, 2020Updated 6 years ago
- ☆11Oct 29, 2022Updated 4 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,066Sep 2, 2024Updated 2 years ago
- PyTorch Implementation of a Multi-Output Neural Network on the UTK Face Dataset to predict a person's age (range), ethnicity, and gender.☆24Mar 28, 2023Updated 3 years ago
- Multi-label Classification using feature selection: Deep Learning☆24Oct 12, 2020Updated 6 years ago
- A full-replica MATLAB/Simulink dynamic model of the IEEE 39-bus power system, including dynamic models of conventional generation and dyn…☆13Jun 18, 2018Updated 8 years ago
- 天池-新冠疫情相似句对判定大赛 大白_Rank6☆13Apr 8, 2020Updated 6 years ago
- MICO: Mutual Information and Conic Optimization for feature selection☆17Nov 7, 2022Updated 3 years ago
- An Explainable Neural Network for Fault Diagnosis With a Frequency Activation Map☆15Dec 30, 2021Updated 4 years ago
- Simple implementation of MUltiple SIgnal Classification☆14Jan 30, 2016Updated 10 years ago
- Pytorch code for learning an underlying PDE from given data.☆15Nov 24, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Deep-Feature Selection☆14Apr 15, 2019Updated 7 years ago
- MayaChemTools is a growing collection of Perl and Python scripts, modules, and classes to support a variety of day-to-day computational d…☆10Sep 1, 2020Updated 6 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆184Nov 2, 2021Updated 5 years ago
- Pseudo-labelling and knowledge distillation from multiple teachers for remote sensing monitoring of deforestation in Ukraine☆13Jan 12, 2023Updated 3 years ago
- It contains some of the novel feature selection algorithms I've developed☆13May 21, 2021Updated 5 years ago
- FeatTS is a Semi-Supervised Clustering method that leverages features extracted from the raw time series to create clusters that reflect …☆17Jul 22, 2024Updated 2 years ago
- A multitask learning architecture for Natural Language Processing of Pytorch implementation☆42Aug 26, 2019Updated 7 years ago
- Feature selection for deep learning models.☆15Jan 9, 2021Updated 5 years ago
- ☆17Oct 5, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Pytorch exercises☆32May 17, 2020Updated 6 years ago
- A PyTorch Library for Multi-Task Learning☆2,598May 14, 2025Updated last year
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆147Aug 12, 2021Updated 5 years ago
- 🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP☆1,197Aug 1, 2023Updated 3 years ago
- (SIGIR2020) “Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback’’☆21Nov 21, 2022Updated 3 years ago
- A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Sele…☆16Apr 24, 2020Updated 6 years ago
- a script from ERNIE1.0 or ERNIE2.0 to transfomers' BERT format☆10Mar 28, 2020Updated 6 years ago