24 Open source projects that are alternatives of or similar to activelearning

active learning for accelerated high-throughput virtual screening

Tools for detecting wildlife in aerial images using active learning

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

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

Yum-me is a nutrient based food recommendation system

Active learning for deep object detection using YOLO

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.

Machines and people collaborating together through Jupyter notebooks.

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.

Reusable BatchBALD implementation

Visualization extension for ASReview

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

A simple client wrapper for doccano API.

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

Active Learning for Text Classification in Python

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

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

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

Python module for data scientists for quick creating annotation projects.

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.

No description or website provided.

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

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

tools for fast reading of docs