The source code for "Deep transfer learning for conditional shift in regression"
☆19Jun 16, 2021Updated 4 years ago
Alternatives and similar repositories for CDAR
Users that are interested in CDAR are comparing it to the libraries listed below
Sorting:
- ☆10Sep 16, 2022Updated 3 years ago
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆17Dec 30, 2023Updated 2 years ago
- ☆13Oct 7, 2022Updated 3 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆85Oct 21, 2021Updated 4 years ago
- Code for Unsupervised Multi-Source Domain Adaptation for Regression paper☆20Jun 24, 2020Updated 5 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆78Aug 4, 2023Updated 2 years ago
- Functions to compute conditional distributions of Gaussian mixture models.☆13May 10, 2025Updated 10 months ago
- Simple Python Socket-based Split Learning technique using PyTorch☆13Mar 13, 2020Updated 6 years ago
- ☆24Jun 3, 2023Updated 2 years ago
- ☆12Jan 15, 2024Updated 2 years ago
- A repository for LotteryFL re-implementation and experiments☆13Dec 18, 2020Updated 5 years ago
- ☆13Jul 11, 2025Updated 8 months ago
- ☆10Mar 18, 2023Updated 3 years ago
- Arbin schedule file automation from CSV☆44Sep 25, 2019Updated 6 years ago
- Physics-informed learning of governing equations from scarce data☆13Feb 16, 2021Updated 5 years ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Nov 18, 2020Updated 5 years ago
- Papers and codes of Physics-informed Deep Compositional Operator Network☆13Oct 31, 2025Updated 4 months ago
- Takagi-Sugeno-Kang Fuzzy System☆17May 20, 2020Updated 5 years ago
- The DistanceMetrics package is a comprehensive Python library designed to compute a wide variety of distance metrics between two vectors,…☆15Sep 25, 2025Updated 5 months ago
- ☆25Feb 3, 2023Updated 3 years ago
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆19Jan 9, 2022Updated 4 years ago
- [ICML 2023] Non-Uniform Neural Operator (NUNO)☆26Jul 3, 2023Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Sep 29, 2020Updated 5 years ago
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- Code for paper "Adversarial Support Alignment"☆23Apr 22, 2022Updated 3 years ago
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Jan 30, 2025Updated last year
- Use Fourier transform to learn operators in differential equations.☆24Jan 6, 2023Updated 3 years ago
- ☆16Jul 23, 2020Updated 5 years ago
- bumble bee transformer☆14Apr 19, 2021Updated 4 years ago
- ☆13Jan 24, 2023Updated 3 years ago
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆30Jan 20, 2026Updated 2 months ago
- Awesome Domain Adaptation Python Toolbox☆366Dec 2, 2025Updated 3 months ago
- This reposotory release a gearbox failure dataset, which can support intelliegnt fault diagnosis research（实验室自采齿轮箱开源数据集，包含稳定转速和时变转速）☆34Apr 21, 2025Updated 11 months ago
- ☆20May 29, 2020Updated 5 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆21Jun 20, 2024Updated last year
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆15Jun 3, 2020Updated 5 years ago
- ☆28Dec 9, 2024Updated last year