#数据仓库#The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
翻译 - 在数据集中查找标签错误并使用嘈杂的标签进行学习。
#计算机科学#Refine high-quality datasets and visual AI models
翻译 - 用于构建高质量数据集和计算机视觉模型的开源工具
#计算机科学#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 learni...
翻译 - Vowpal Wabbit是一个机器学习系统,它通过在线,哈希,减少,归约,learning2search,主动和交互式学习等技术来推动机器学习的前沿。
#自然语言处理#Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
#计算机科学#A modular active learning framework for Python
#自然语言处理#The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
#计算机科学#📈 Adaptive: parallel active learning of mathematical functions
翻译 - :chart_with_upwards_trend:数学函数的自适应和并行采样工具
#计算机科学#Bayesian active learning library for research and industrial usecases.
#计算机科学#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.
翻译 - ALiPy:Python中的主动学习是一种主动学习python工具箱,它使用户可以方便地评估,比较和分析主动学习方法的性能。
#Awesome#Everything you need about Active Learning (AL).
#时序数据库#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/explanatio...
#计算机科学#A curated list of awesome Active Learning
#自然语言处理#Curated list of open source tooling for data-centric AI on unstructured data.
#自然语言处理#Active learning for systematic reviews
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
#计算机科学#MONAI Label is an intelligent open source image labeling and learning tool.
INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.
#自然语言处理#Active Learning for Text Classification in Python