因果学习、不确定性估计相关资源(论文、代码、数据、博客等)
☆17Feb 23, 2024Updated 2 years ago
Alternatives and similar repositories for Causal-Learning-and-Uncertainty-Estimation
Users that are interested in Causal-Learning-and-Uncertainty-Estimation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is an Uncertainty Study Arxiv☆12Mar 4, 2025Updated last year
- ☆10Jul 5, 2024Updated last year
- Distribution-based confidence maps for medical ultrasound☆12Jun 22, 2020Updated 5 years ago
- Semantic Affinity-Aware Weakly Supervised Learning for Multi-Class Medical Image Segmentation with Slice-Level Labels☆10May 28, 2023Updated 3 years ago
- [ICCV2025] Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation☆14Feb 18, 2026Updated 3 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A simple implementation of a deep linear Pytorch module☆21Oct 16, 2020Updated 5 years ago
- Domain adaptation method for medical image analysis, a collection of literature reviews and code implementations.☆16Apr 28, 2025Updated last year
- A collection of research works about causal inference for recommender systems, including papers and code.☆35Dec 7, 2024Updated last year
- Official Code for Contrastive Learning with Counterfactual Explanations for Radiology Report Generation (ECCV 2024)☆18Apr 3, 2025Updated last year
- [ICCV 2023] Official implementation of paper "SOAR: Scene-debiasing Open-set Action Recognition".☆12Dec 23, 2023Updated 2 years ago
- [ICLR 2022] "Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How" by Yuning You, Yue Cao, Tianl…☆14Aug 19, 2022Updated 3 years ago
- Fast and memory-efficient exact attention☆20Jul 22, 2024Updated last year
- [EMNLP 2024] Implementation of vision-language model fine-tuning via simple parameter-efficient modification☆19Nov 24, 2024Updated last year
- Inferring disease-associated miRNAs☆10Mar 21, 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.
- Deep Variational Information Bottleneck (DVIB) in PyTorch.☆10Apr 25, 2020Updated 6 years ago
- Implementation of Stochastic Gradient Descent algorithms in Python (cite https://doi.org/10.1007/s00158-020-02599-z)☆12May 19, 2021Updated 5 years ago
- This code realizes the construction of cokriging model, which is used for the structural size design of solder joints. The input is the r…☆11Aug 11, 2023Updated 2 years ago
- For the paper 'A novel isogeometric coupling approach for assembled thin-walled structures', here is the core code and implementation tha…☆14Aug 9, 2024Updated last year
- Representative point selection by the GF-discrepancy minimization technique for the probability density evolution method (PDEM).☆15Nov 24, 2024Updated last year
- Introduction to surrogate modeling optimization in wireless networks☆10May 10, 2018Updated 8 years ago
- Affinity based segmentation algorithms and tools☆11May 12, 2025Updated last year
- Volumetric data obtained with focused ion beam combined with scanning electron microscopy (FIB-SEM) and labels for mitochondria, endolyso…☆14May 15, 2023Updated 3 years ago
- ☆13Feb 12, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This code reproduces the results presented in the paper "DAEMA: Denoising Autoencoder with Mask Attention" accepted at the ICANN 2021 con…☆14Aug 31, 2021Updated 4 years ago
- [MICCAI 2024 Spotlight, Early Acceptance] PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts☆19Dec 13, 2025Updated 5 months ago
- ☆13Jan 12, 2024Updated 2 years ago
- My version of AK-MCS in Matlab, DACE toolbox is also provided but it is not mine.☆10Oct 26, 2022Updated 3 years ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Nov 8, 2018Updated 7 years ago
- ☆18Feb 20, 2024Updated 2 years ago
- TSRoots: A Python package for efficient Gaussian process Thompson sampling in Bayesian optimization via rootfinding.☆10Mar 11, 2025Updated last year
- Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation in MICCAI 2021☆14Jun 22, 2021Updated 4 years ago
- Code for ICML 2021 paper "Regularizing towards Causal Invariance: Linear Models with Proxies" (ICML 2021)☆11Mar 14, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Apr 15, 2022Updated 4 years ago
- Software used for papers published by CAUSALab members☆12Oct 23, 2025Updated 7 months ago
- A framework for solving reliability analysis (aka design uncertainty quantification) and reliability-based robust design optimization (ak…☆14Feb 13, 2024Updated 2 years ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆14May 18, 2022Updated 4 years ago
- Randomized Greedy Polynomial Chaos Expansions☆10May 11, 2019Updated 7 years ago
- PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)☆38Dec 14, 2023Updated 2 years ago
- Causal Effect Engine is a Golang package for causal inference☆18Feb 9, 2022Updated 4 years ago