There are 7 repositories under human-in-the-loop topic.
Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
🌊 A Human-in-the-Loop workflow for creating HD images from text
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Everything you need about Active Learning (AL).
DataCLUE: 数据为中心的NLP基准和工具包
Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
A Universal Deep Reinforcement Learning Framework
[ICCV 2023] Official implementation of the paper "Neural Interactive Keypoint Detection"
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
A Preferential Bayesian optimization library for C++/Python [SIGGRAPH 2017]
(Engineering) Toward human-in-the-loop AI: Enhancing deep reinforcement learning via real-time human guidance for autonomous driving
Open Source Human in the Loop platform for anyone to run their own private Mechanical Turk.
An agent with human in the loop that can search the web for information while bypassing bot detection for private sites.
Official codebase for Sirius: Robot Learning on the Job
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
A list of research papers of explainable machine learning.
[ICML 2020] Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies. https://arxiv.org/abs/2007.12678, https://icml.cc/virtual/2020/poster/5797
QDrant-NLP
A new method for a robot to learn a control objective from human user's directional corrections.
A simple human interface for human-in-the-loop machine learning research, which allows: 1. annote image on webpage, 2. collect human feedback through keyboard input, 3. direct interaction with agents on remote server
JOAN is an software package that allows to perform human-in-the loop experiments in the open source driving simulator CARLA. JOAN facilitates communication between human input devices and CARLA, the implementation of haptic feedback, systematically storing experiment data, and the automatic execution of experiments with multiple experimental conditions.
Matplotlib Image labeller for classifying images
Official code repository for "iSEA: An Interactive Pipeline of Semantic Error Analysis for NLP Models"
An experimental natural language based querying system for Wikipedia
Sentiment analysis with Vietnamese reviews from Shopee online market
Examples of Interactive Workflows with Prefect
This is the code for a stochastic environment for human-in-the-loop grasping (ICRA'21).
A list of awesome resources related to constraint learning