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168 search results found

Cleanlab ⭐ 8,696

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Vowpal_wabbit ⭐ 8,399

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Argilla ⭐ 3,097

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

Modal ⭐ 2,057

A modular active learning framework for Python

Refinery ⭐ 1,257

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Adaptive ⭐ 1,079

📈 Adaptive: parallel active learning of mathematical functions

Library to enable Bayesian active learning in your research or labeling work.

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

Ad_examples ⭐ 738

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Pool-based active learning in Python

Awesome Active Learning ⭐ 642

Everything you need about Active Learning (AL).

Awesome Active Learning ⭐ 634

A curated list of awesome Active Learning

Awesome Open Data Centric Ai ⭐ 630

Curated list of open source tooling for data-centric AI on unstructured data.

Deep Active Learning ⭐ 553

Deep Active Learning

Inception ⭐ 542

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

Asreview ⭐ 525

Active learning for systematic reviews

Small Text ⭐ 509

Active Learning for Text Classification in Python

Monailabel ⭐ 496

MONAI Label is an intelligent open source image labeling and learning tool.

Prodigy Recipes ⭐ 449

🍳 Recipes for the Prodigy, our fully scriptable annotation tool

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Encord Active ⭐ 385

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Code for Multiple Instance Active Learning for Object Detection, CVPR 2021

The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field

Machine Learning for Computer Security

Label Sleuth ⭐ 230

Open source no-code system for text annotation and building of text classifiers

A web-based document annotation tool, powered by GPT-4 🚀

Smarter Manual Annotation for Resource-constrained collection of Training data

Active Learning As A Service ⭐ 206

A scalable & efficient active learning/data selection system for everyone.

Seal Ci ⭐ 201

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

Jupyterlab Prodigy ⭐ 181

🧬 A JupyterLab extension for annotating data with Prodigy

Aerial_wildlife_detection ⭐ 177

Tools for detecting wildlife in aerial images using active learning

Batchbald ⭐ 174

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.

Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)

Gaussian Processes for Experimental Sciences

Bamboo: 4 times larger than ImageNet; 2 time larger than Object365; Built by active learning.

Awesome Explanatory Supervision ⭐ 142

List of relevant resources for machine learning from explanatory supervision

[CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"

Awesome Active Learning ⭐ 120

Awesome Active Learning Paper List

A Bayesian Back End for Design of Experiments

active learning for accelerated high-throughput virtual screening

DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

Alpacatag ⭐ 104

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

Scikit Activeml ⭐ 101

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

Face_recognition_crop ⭐ 96

Recognize, Crop and Save Multi-View Faces as Images From Video to Create a Multi-View Face Database.

Experimental design and (multi-objective) bayesian optimization.

Discriminativeactivelearning ⭐ 81

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

Doccano Client ⭐ 76

A simple client for doccano API.

Trunklucator ⭐ 73

Python module for data scientists for quick creating annotation projects.

Icl Selective Annotation ⭐ 72

[ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"

Deep Active Learning ⭐ 72

An implementation of the state-of-the-art Deep Active Learning algorithms

Energizer ⭐ 71

An active learning library for Pytorch based on Pytorch-Lightning.

[AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406

Mlopstemplate ⭐ 68

Providing tools and templates to facilitate modern MLOps practices

Mlss2019 Bayesian Deep Learning ⭐ 63

MLSS2019 Tutorial on Bayesian Deep Learning

Batchbald_redux ⭐ 63

Reusable BatchBALD implementation

Medcattrainer ⭐ 62

A simple interface to inspect, improve and add concepts to biomedical NER+L -> MedCAT.

Internet Explorer ⭐ 57

Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset.

Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

Alpha_mix_active_learning ⭐ 52

The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper

Contrastive Active Learning ⭐ 51

Code for the EMNLP 2021 Paper "Active Learning by Acquiring Contrastive Examples" & the ACL 2022 Paper "On the Importance of Effectively Adapting Pretrained Language Models for Active Learning"

Human In The Loop Machine Learning Tool Tornado ⭐ 49

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

Bgolearn ⭐ 49

A Bayesian global optimization package for material design ｜ Adaptive Learning | Active Learning

Cardinal ⭐ 47

A practical Active Learning python package with a strong focus on experiments.

Astronomical ⭐ 47

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."

Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"

tools for fast reading of docs

Activelearning ⭐ 34

Active Learning in R

Crb Active 3ddet ⭐ 33

The official PyTorch implementation of "Exploring Active 3D Object Detection from a Generalization Perspective" (ICLR Spotlight 2023).

PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021

A Python library for Robotic Information Gathering

Cardinal ⭐ 28

A practical Active Learning python package with a strong focus on experiments.

Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.

Ssm Pytorch ⭐ 27

Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection

Awesome Active Learning For Medical Image Analysis ⭐ 25

A paper list of active learning in medical image analysis and computer vision

Al Fk Self Supervision ⭐ 25

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Adaptive Scheduler ⭐ 24

Run many functions (adaptively) on many cores (>10k) using mpi4py.futures, ipyparallel, loky, or dask-mpi. 🎉

Asreview Insights ⭐ 23

Tools such as plots and metrics to analyze (simulated) reviews for ASReview LAB

Plug and Play Active Learning for Object Detection

Differential Privacy Bayesian Optimization ⭐ 22

This repo contains the underlying code for all the experiments from the paper: "Automatic Discovery of Privacy-Utility Pareto Fronts"

Policy Data Analyzer ⭐ 22

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Yum-me is a nutrient based food recommendation system

JCLAL is a general purpose framework developed in Java for Active Learning.

Active Bayesian Causal Inference ⭐ 21

Active Bayesian Causal Inference (Neurips'22)

ReBound is an open-source, LiDAR visualization and annotation tool to assist active-learning systems involved in autonomous vehicles

Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection

Deep Reinforcement One-Shot Learning Framework for Artificially Intelligent Classification Systems

Active Explainable Classification ⭐ 19

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

Re-thinking Federated Active Learning based on Inter-class Diversity (CVPR 2023)

Vatl4pose Wacv2024 ⭐ 19

[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''

Deep Active Learning For Joint Classification And Segmentation With Weak Annotator ⭐ 18

Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

labelit, label tool with active learning, for classification task. 自动标注，基于主动学习，边标注边学习，减少人工标注量。

Ceal_keras ⭐ 18

Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper

Refinery Python Sdk ⭐ 17

Official Python SDK for Kern AI refinery.

Yolov7_labelstudio ⭐ 17

Fine tuning YoloV7 to detect white, red bloodcells and platelets to be used as backend in label studio for pre annotating

Potentiallearning.jl ⭐ 17

An open source Julia library for active learning of interatomic potentials in atomistic simulations of materials. It incorporates elements of bayesian inference, machine learning, differentiable programming, software composability, and high-performance computing.

[ICLR 2020] Learning to Move with Affordance Maps 🤖💨🗺️

Nbtransom ⭐ 17

Machines and people collaborating together through Jupyter notebooks.

Chemprop ⭐ 16

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

1-100 of 168 search results

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