baal-org / baal
Bayesian active learning library for research and industrial usecases.
☆896Updated 10 months ago
Alternatives and similar repositories for baal:
Users that are interested in baal are comparing it to the libraries listed below
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆962Updated 2 years ago
- Deep Active Learning☆832Updated 2 years ago
- A modular active learning framework for Python☆2,281Updated last year
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆241Updated 11 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,503Updated last week
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆880Updated 2 years ago
- Drift Detection for your PyTorch Models☆316Updated 2 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆360Updated 8 months ago
- ☆1,152Updated 2 years ago
- ☆469Updated last week
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- Bayesian Deep Learning Benchmarks☆670Updated 2 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆476Updated 2 years ago
- A simple way to calibrate your neural network.☆1,144Updated 3 years ago
- A simplified framework and utilities for PyTorch☆573Updated 5 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,720Updated last month
- A curated list of awesome Active Learning☆764Updated 6 months ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆149Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆330Updated last year
- Weakly Supervised End-to-End Learning (NeurIPS 2021)☆156Updated 2 years ago
- Web-based dashboard for Sacred☆549Updated 2 years ago
- Awesome Active Learning Paper List☆141Updated last year
- scikit-activeml: Python library for active learning on top of scikit-learn☆163Updated last week
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆486Updated 4 years ago
- An implementation of the BADGE batch active learning algorithm.☆206Updated 11 months ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆624Updated 2 years ago
- OpenML AutoML Benchmarking Framework☆429Updated this week
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,583Updated 7 months ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆564Updated last year