diffgram VS active_learning

Compare diffgram vs active_learning and see what are their differences.

diffgram

The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data. (by diffgram)
Annotation annotation-tool training-data video-annotation data-annotation Kubernetes Data Science data-analytics image-annotation Machine Learning Deep Learning Data Annotations Datasets Labeling Datastore
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diffgram.com
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active_learning

Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP. (by zeyademam)
active-learning distributed-data-parallel pytorch-implementation
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diffgram active_learning
9 1
1,807 53
1.3% -
8.4 1.8
about 1 month ago over 2 years ago
Python Python
GNU General Public License v3.0 or later MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

diffgram

Posts with mentions or reviews of diffgram. We have used some of these posts to build our list of alternatives and similar projects.

active_learning

Posts with mentions or reviews of active_learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing diffgram and active_learning you can also consider the following projects:

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

modAL - A modular active learning framework for Python

awesome-data-labeling - A curated list of awesome data labeling tools

lightly - A python library for self-supervised learning on images.

VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

adaptive - :chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions

dataqa - Labelling platform for text using weak supervision.

hover - :speedboat: Label data at scale. Fun and precision included.

auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

bbox-visualizer - Make drawing and labeling bounding boxes easy as cake

dataset-viewer - Lightweight web API for visualizing and exploring any dataset - computer vision, speech, text, and tabular - stored on the Hugging Face Hub

diffgram vs label-studio active_learning vs modAL diffgram vs awesome-data-labeling active_learning vs lightly diffgram vs VoTT active_learning vs adaptive diffgram vs dataqa diffgram vs hover diffgram vs auto_annotate diffgram vs albumentations diffgram vs bbox-visualizer diffgram vs dataset-viewer