snorkel VS diffgram

Compare snorkel vs diffgram and see what are their differences.

snorkel

A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel] (by HazyResearch)

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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snorkel diffgram
1 9
5,109 1,796
- 0.7%
6.2 8.8
about 2 years ago 15 days ago
Python Python
Apache License 2.0 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

snorkel

Posts with mentions or reviews of snorkel. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-20.

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 snorkel and diffgram you can also consider the following projects:

skweak - skweak: A software toolkit for weak supervision applied to NLP tasks

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

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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

catanatron - Settlers of Catan Bot Simulator and Strong AI Player

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

compose - A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

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

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.