The source code for "Deep transfer learning for conditional shift in regression"
☆19Jun 16, 2021Updated 5 years ago
Alternatives and similar repositories for CDAR
Users that are interested in CDAR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆10Sep 16, 2022Updated 3 years ago
- Learning Transferable Features with Deep Adaptation Networks☆12Jul 18, 2023Updated 2 years ago
- Code for Unsupervised Multi-Source Domain Adaptation for Regression paper☆20Jun 24, 2020Updated 6 years ago
- ☆17Dec 31, 2023Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆83Aug 4, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Simple Python Socket-based Split Learning technique using PyTorch☆14Mar 13, 2020Updated 6 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆55Jan 13, 2022Updated 4 years ago
- Code for paper "Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion"☆14Mar 28, 2024Updated 2 years ago
- The Senseiver: attention-based global field reconstruction from sparse observations☆34Nov 21, 2024Updated last year
- [EMNLP 24] Source code for paper 'AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tu…☆13Dec 15, 2024Updated last year
- ☆13Jul 11, 2025Updated 11 months ago
- ☆11Mar 18, 2023Updated 3 years ago
- Codes for scientific charts☆12Dec 30, 2025Updated 6 months ago
- Arbin schedule file automation from CSV☆44Sep 25, 2019Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆16Jan 15, 2024Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆14Feb 16, 2021Updated 5 years ago
- Deep Learning - Predicting using Neural Ordinary Differential Equations - torchdiffeq.☆15Nov 18, 2020Updated 5 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- A comprehensive tool designed to enhance the retrieval and generation of academic content from the arXiv database, leveraging advanced Re…☆13Dec 30, 2024Updated last year
- DNN_Partition辅助工具,用于对pytorch模型进行简单的性能分析以及支持模型切分☆14May 31, 2021Updated 5 years ago
- GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration☆14May 26, 2020Updated 6 years ago
- ☆14Jun 3, 2024Updated 2 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.
- Upscaling satellite imagery using GAN by 4 times☆16Mar 14, 2022Updated 4 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- ☆19Jun 21, 2025Updated last year
- Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"☆24Mar 25, 2026Updated 3 months ago
- The DistanceMetrics package is a comprehensive Python library designed to compute a wide variety of distance metrics between two vectors,…☆20Sep 25, 2025Updated 9 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆84Apr 24, 2025Updated last year
- 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)☆27Jul 3, 2023Updated 2 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
- 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.
- Domain Agnostic Fourier Neural Operators (DAFNO)☆20Sep 3, 2024Updated last year
- Code for paper "Adversarial Support Alignment"☆23Apr 22, 2022Updated 4 years ago
- Byzantine-robust Federated Learning☆16Sep 21, 2023Updated 2 years ago
- bumble bee transformer☆14Apr 19, 2021Updated 5 years ago
- Use Fourier transform to learn operators in differential equations.☆27Jan 6, 2023Updated 3 years ago
- ☆16Jul 23, 2020Updated 5 years ago
- Repository for the paper "Interpreting Temporal Graph Neural Networks with Koopman Theory"☆12Apr 7, 2026Updated 2 months ago