active_learning VS diffgram

Compare active_learning vs diffgram and see what are their differences.

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)

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)
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active_learning diffgram
1 9
52 1,803
- 1.1%
1.8 8.8
over 2 years ago 12 days ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

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.

diffgram

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

What are some alternatives?

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

modAL - A modular active learning framework for Python

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

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

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

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

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

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