rmunro / uncertainty_sampling_numpyLinks
NumPy implementations of common Active Learning strategies for Uncertainty Sampling
☆27Updated 6 years ago
Alternatives and similar repositories for uncertainty_sampling_numpy
Users that are interested in uncertainty_sampling_numpy are comparing it to the libraries listed below
Sorting:
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- ☆40Updated 2 years ago
- A lightweight implementation of removal-based explanations for ML models.☆58Updated 4 years ago
- A practical Active Learning python package with a strong focus on experiments.☆51Updated 2 years ago
- The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).☆221Updated 2 years ago
- Active and Sample-Efficient Model Evaluation☆24Updated 4 months ago
- The repository for various machine learning POC☆28Updated 4 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- A practical, explainable and effective method for reducing bias in machine learning algorithms.☆22Updated 5 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- SPEAR: Programmatically label and build training data quickly.☆108Updated last year
- Domain Adaptation☆23Updated 3 years ago
- To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…☆177Updated 2 years ago
- Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"☆31Updated 4 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- quica is a tool to run inter coder agreement pipelines in an easy and effective ways. Multiple measures are run and results are collected…☆23Updated 4 years ago
- Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.119…☆106Updated last year
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- Calibration library and code for the paper: Verified Uncertainty Calibration. Ananya Kumar, Percy Liang, Tengyu Ma. NeurIPS 2019 (Spotlig…☆151Updated 2 years ago
- Data Twinning☆25Updated 2 years ago
- Companion code for a tutorial on using Hydra.☆30Updated 4 years ago
- ☆139Updated last year
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- ☆57Updated last year
- ☆13Updated 5 years ago
- The repository contains the code and notebooks for the tutorials on how to extract embedding features from pictures using the ResNext mod…☆15Updated 4 years ago
- A deep learning framework for building multimodal multi-task learning systems.☆111Updated 2 years ago