Optimization-AI / LibAUCLinks
LibAUC: A Deep Learning Library for X-Risk Optimization
☆307Updated 11 months ago
Alternatives and similar repositories for LibAUC
Users that are interested in LibAUC are comparing it to the libraries listed below
Sorting:
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆195Updated 4 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆81Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆196Updated 5 months ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆95Updated 9 months ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆45Updated 3 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- NumPy library for calibration metrics☆73Updated 5 months ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆145Updated 3 years ago
- Code for the paper https://arxiv.org/abs/2003.00827☆104Updated 3 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆181Updated last year
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 3 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆154Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆482Updated last year
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- ☆42Updated 2 years ago
- ☆160Updated last month
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- ☆416Updated 3 years ago
- some bravo or inspiring research works on the topic of curriculum learning☆242Updated 3 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆153Updated 2 years ago
- ☆245Updated 3 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆364Updated last year
- 👽 Out-of-Distribution Detection with PyTorch☆303Updated last month
- Loss function which directly targets ROC-AUC☆247Updated 2 years ago
- ☆37Updated 2 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Simple pytorch implementation of focal loss☆86Updated 2 years ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆238Updated 2 years ago