Optimization-AI / LibAUCLinks
LibAUC: A Deep Learning Library for X-Risk Optimization
☆315Updated 4 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☆211Updated 10 months ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆90Updated last year
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300Updated 2 years ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆209Updated 3 months ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆101Updated last year
- NumPy library for calibration metrics☆75Updated 3 weeks ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆48Updated 3 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- ☆39Updated 3 years ago
- Code for the paper https://arxiv.org/abs/2003.00827☆106Updated 4 years ago
- CORAL and CORN implementations for ordinal regression with deep neural networks.☆266Updated 4 months ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆372Updated 2 weeks ago
- Reliability diagrams visualize whether a classifier model needs calibration☆165Updated 3 years ago
- 👽 Out-of-Distribution Detection with PyTorch☆332Updated 2 weeks ago
- ☆163Updated 7 months ago
- Calibration of Convolutional Neural Networks☆171Updated 2 years ago
- some bravo or inspiring research works on the topic of curriculum learning☆246Updated 3 years ago
- Loss function which directly targets ROC-AUC☆250Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆512Updated 2 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆183Updated last year
- ☆429Updated 4 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆155Updated 2 years ago
- ☆41Updated 2 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆458Updated 3 years ago
- An implementation of the BADGE batch active learning algorithm.☆211Updated last year
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆314Updated last year
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆109Updated 3 years ago
- NeurIPS 2021 | Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information☆34Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆107Updated 2 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆154Updated 5 years ago