Reusable BatchBALD implementation
☆77Feb 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A PyTorch implementation of BatchBALD on the MNIST dataset☆13Sep 16, 2020Updated 5 years ago
- ☆18Jan 8, 2024Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆217Jun 5, 2024Updated 2 years ago
- Bayesian active learning library for research and industrial usecases.☆931Dec 3, 2025Updated 6 months ago
- Bayesian active learning with EPIG data acquisition☆41Sep 4, 2025Updated 9 months 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.
- ☆13Feb 14, 2022Updated 4 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆279Oct 23, 2018Updated 7 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
- Deep Active Learning☆851Oct 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
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆10Jan 19, 2022Updated 4 years ago
- Batched Energy-Entropy acquisition for Bayesian Optimization (NeurIPS 2024)☆11Jan 6, 2025Updated last year
- [NAACL 2022] This is the code repo for our paper `ACTUNE: Uncertainty-based Active Self-Training for Active Fine-Tuning of Pretrained Lan…☆15Nov 16, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11May 14, 2019Updated 7 years ago
- Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization☆17Apr 24, 2020Updated 6 years ago
- Official implementation of COLosSAL [MICCAI 2023]☆15Jul 22, 2023Updated 2 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
- Implementation of FixMatch in PyTorch and experimentations☆12Aug 9, 2020Updated 5 years ago
- Use Bayesian CNN and Active Learning to Scale Galaxy Zoo (public)☆19May 8, 2019Updated 7 years ago
- Belief Revision based Caption Re-ranker with Visual Semantic Information. COLING 2022☆11Apr 13, 2025Updated last year
- Codebase for Paper Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs☆22Apr 24, 2025Updated last year
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 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.
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)☆10Mar 14, 2023Updated 3 years ago
- Submodular Subset Selection for Active Domain Adaptation (ICCV 2021)☆15Feb 16, 2023Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Contains implementation of the DoubIL and ResiduIL algorithms from the ICML '22 paper Causal Imitation Learning under Temporally Correlat…☆11Dec 9, 2022Updated 3 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆992Dec 8, 2022Updated 3 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Dec 31, 2019Updated 6 years ago
- ☆16Aug 2, 2022Updated 3 years ago
- Official pytorch implementation of ZiRa, a method for incremental vision language object detection (IVLOD),which has been accepted by Neu…☆30Oct 22, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- HCOMP '22 -- Eliciting and Learning with Soft Labels from Every Annotator☆10Nov 1, 2022Updated 3 years ago
- List of machine learning competitions for satellite imagery and remote sensing.☆11Feb 16, 2019Updated 7 years ago
- ☆15Mar 10, 2026Updated 3 months ago
- Shows some of the ways molecule generation and optimization can go wrong☆17Jul 6, 2023Updated 2 years ago
- GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.☆41Jun 30, 2023Updated 2 years ago
- (NeurIPS 2022) Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination☆19Nov 16, 2023Updated 2 years ago