Reusable BatchBALD implementation
☆78Feb 28, 2024Updated 2 years ago
Alternatives and similar repositories for batchbald_redux
Users that are interested in batchbald_redux are comparing it to the libraries listed below
Sorting:
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆247Jun 5, 2024Updated last year
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- ☆18Jan 8, 2024Updated 2 years ago
- ☆13Feb 14, 2022Updated 4 years ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- Bayesian active learning library for research and industrial usecases.☆922Dec 3, 2025Updated 3 months ago
- Deep Batch Active Learning for Regression☆73Oct 3, 2024Updated last year
- Bayesian active learning with EPIG data acquisition☆39Sep 4, 2025Updated 6 months ago
- Deep Active Learning☆847Oct 3, 2022Updated 3 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆156Feb 5, 2023Updated 3 years ago
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)☆10Jan 6, 2025Updated last year
- ☆40Apr 7, 2020Updated 5 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
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11May 14, 2019Updated 6 years ago
- Layers, datasets and utilities for PyTorch☆10Nov 22, 2023Updated 2 years ago
- Official pytorch implementation of ZiRa, a method for incremental vision language object detection (IVLOD),which has been accepted by Neu…☆28Oct 22, 2024Updated last year
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- Experiments with self-supervised learning☆11Mar 9, 2020Updated 5 years ago
- ☆15Nov 23, 2023Updated 2 years ago
- Implementation of FixMatch in PyTorch and experimentations☆12Aug 9, 2020Updated 5 years ago
- PyTorch Lighning wrapper to make training ResNet classifiers easier.☆29Jan 23, 2023Updated 3 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 4 years ago
- Show ML predictions w/ Streamlit☆12Apr 2, 2024Updated last year
- The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)☆11Apr 21, 2023Updated 2 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆12May 25, 2022Updated 3 years ago
- ☆15Jan 26, 2024Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 3 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Jan 16, 2020Updated 6 years ago
- ☆18Feb 7, 2024Updated 2 years ago
- List of machine learning competitions for satellite imagery and remote sensing.☆11Feb 16, 2019Updated 7 years ago
- Accelerate common Petri dish assays with AI.☆15Oct 28, 2025Updated 4 months ago
- ☆18Sep 1, 2022Updated 3 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Jul 25, 2024Updated last year
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Sep 7, 2021Updated 4 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- Functions for easily making publication-quality figures with matplotlib.☆19Jan 20, 2024Updated 2 years ago
- Shows some of the ways molecule generation and optimization can go wrong☆17Jul 6, 2023Updated 2 years ago
- PyTorch Implementation of the Deep k-Nearest-Neighbors algorithm, https://arxiv.org/abs/1803.04765☆16Aug 18, 2020Updated 5 years ago
- Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization☆17Apr 24, 2020Updated 5 years ago