baal-org / baal
Bayesian active learning library for research and industrial usecases.
☆887Updated 7 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☆955Updated 2 years ago
- Deep Active Learning☆820Updated 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 …☆353Updated 6 months ago
- ☆1,137Updated 2 years ago
- A modular active learning framework for Python☆2,260Updated 11 months ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆235Updated 8 months ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 5 years ago
- A simple way to calibrate your neural network.☆1,128Updated 3 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆873Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆617Updated 2 years ago
- Drift Detection for your PyTorch Models☆315Updated 2 years ago
- A simplified framework and utilities for PyTorch☆571Updated 2 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,715Updated 2 weeks ago
- ☆468Updated 6 months 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…☆327Updated last year
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆147Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,485Updated 2 weeks ago
- Bayesian Deep Learning Benchmarks☆667Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆474Updated 2 years ago
- A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.☆558Updated last year
- A curated list of awesome Active Learning☆755Updated 4 months ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆400Updated 4 years ago
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆756Updated 3 years ago
- Awesome Active Learning Paper List☆142Updated 9 months ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Updated 2 years ago
- Web-based dashboard for Sacred☆550Updated 2 years ago
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆612Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆982Updated 6 months ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,607Updated 2 years ago
- scikit-learn cross validators for iterative stratification of multilabel data☆858Updated 4 months ago