Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"
☆14Mar 20, 2021Updated 5 years ago
Alternatives and similar repositories for optimal-active-learning
Users that are interested in optimal-active-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Jun 13, 2023Updated 3 years ago
- [ICLR25] Official Implementation of "Decoupling Angles and Strength in Low-rank Adaptation"☆15Dec 12, 2025Updated 10 months ago
- ☆11Aug 9, 2022Updated 4 years ago
- Implementation of WGAN-TS☆13Oct 29, 2019Updated 6 years ago
- [ICML 2023] Decentralized SGD and Average-direction SAM are Asymptotically Equivalent☆20Dec 4, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A video labeling platform for training classification algorithms.☆15Mar 30, 2021Updated 5 years ago
- A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …☆13Dec 1, 2022Updated 3 years ago
- ☆16Aug 2, 2022Updated 4 years ago
- NumPy implementations of common Active Learning strategies for Uncertainty Sampling☆27Jul 28, 2019Updated 7 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆94Sep 14, 2021Updated 5 years ago
- Conditional Wasserstein Distances with Applications in Bayesian OT Flow Matching☆11Jun 4, 2025Updated last year
- A hybrid deep learning framework for toxicity prediction☆16Jan 14, 2026Updated 8 months ago
- Repository for "Online Active Model Selection for Pre-trained ML Classifiers"☆14Feb 7, 2023Updated 3 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28May 6, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Nov 10, 2017Updated 8 years ago
- PyTorch implementation of "A Simple Baseline for Low-Budget Active Learning".☆14Dec 22, 2021Updated 4 years ago
- Data and scripts for WeibullR☆12Mar 5, 2021Updated 5 years ago
- Byte-sized text games for code generation tasks on virtual environments☆20Jul 8, 2024Updated 2 years ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆39Jun 20, 2024Updated 2 years ago
- Syphus: Automatic Instruction-Response Generation Pipeline☆14Dec 14, 2023Updated 2 years ago
- Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"☆25Mar 31, 2023Updated 3 years ago
- Code associated with the paper: "Few-Shot Self-Rationalization with Natural Language Prompts"☆12Apr 27, 2022Updated 4 years ago
- Coresets via Bilevel Optimization☆68Nov 2, 2020Updated 5 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Search your object with hash☆12Dec 8, 2022Updated 3 years ago
- Making Heads or Tails Towards Semantically Consistent Visual Counterfactuals☆31Aug 14, 2022Updated 4 years ago
- NamSor Python command line tools, to append gender, origin, diaspora or us 'race'/ethnicity to a CSV file.☆15Sep 6, 2023Updated 3 years ago
- Space efficient streaming quantile estimator☆20Jun 9, 2023Updated 3 years ago
- Neural networks on the Healpix sphere☆18Nov 14, 2023Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- [NeurIPS-2023] The PyTorch Implementation of MoSo. The algorithms are based on our paper: "Data Pruning via Moving-one-Sample-out". MoSo …☆10May 21, 2026Updated 4 months ago
- This is the code for our paper: Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces (Leonard Papenmeier…☆22Jan 5, 2024Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Jul 6, 2020Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- an official PyTorch implementation of the paper "Partial Network Cloning", CVPR 2023☆13Mar 21, 2023Updated 3 years ago
- A hands-on tutorial on how to use Active Learning with Transformer models.☆16Oct 3, 2021Updated 5 years ago
- Extract relationships between cyber security entities within unstructured text☆24Sep 28, 2018Updated 8 years ago
- [CVPR2021] VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning☆14Oct 3, 2021Updated 5 years ago
- Official Codebase of "A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition" (ICML 2023)☆12Jun 1, 2023Updated 3 years ago
- [CVPR'23 Highlight] Heterogeneous Continual Learning.☆15Dec 5, 2023Updated 2 years ago
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆32Mar 30, 2022Updated 4 years ago