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
- Deep Batch Active Learning for Regression☆75Oct 3, 2024Updated last year
- Bayesian active learning library for research and industrial usecases.☆930Dec 3, 2025Updated 5 months ago
- Bayesian active learning with EPIG data acquisition☆41Sep 4, 2025Updated 8 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- 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
- 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
- ☆40Apr 7, 2020Updated 6 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆276Mar 17, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 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
- 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".☆114Jun 7, 2022Updated 3 years ago
- 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
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 2 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆990Dec 8, 2022Updated 3 years ago
- ☆16Aug 2, 2022Updated 3 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.
- 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
- ☆14Mar 10, 2026Updated 2 months ago
- ☆11Dec 17, 2023Updated 2 years ago
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40May 25, 2021Updated 4 years ago
- ACGCN: Graph Convolutional Networks for Activity Cliff Prediction Between Matched Molecular Pairs (Park et al., 2022)☆20Feb 10, 2023Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆29Oct 28, 2022Updated 3 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆14Mar 20, 2021Updated 5 years ago
- A practical Active Learning python package with a strong focus on experiments.☆51Oct 20, 2022Updated 3 years 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.
- Official Implementation of "Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning"☆18Feb 11, 2023Updated 3 years ago
- 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
- Abstractive text summarization http://arxiv.org/abs/1509.00685☆24Mar 18, 2016Updated 10 years ago
- The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)☆11Apr 21, 2023Updated 3 years ago
- Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)☆31May 31, 2023Updated 2 years ago
- This projects utilises vector similarity search from Faiss, in conjunction with chemical fingerprinting to build a scalabale similarity s…☆24Mar 25, 2021Updated 5 years ago
- ☆24Nov 1, 2022Updated 3 years ago