snorkel VS dcai-lab

Compare snorkel vs dcai-lab and see what are their differences.

snorkel

A system for quickly generating training data with weak supervision (by snorkel-team)

dcai-lab

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻 (by dcai-course)
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snorkel dcai-lab
5 10
5,685 388
0.8% 2.6%
5.5 5.4
about 1 month ago 3 months ago
Python Jupyter Notebook
Apache License 2.0 GNU Affero General Public License v3.0
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 2023-03-03.

dcai-lab

Posts with mentions or reviews of dcai-lab. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

What are some alternatives?

When comparing snorkel and dcai-lab you can also consider the following projects:

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

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

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

weasel - Weakly Supervised End-to-End Learning (NeurIPS 2021)

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

snorkel-tutorials - A collection of tutorials for Snorkel

dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.

awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

cleanlab - The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

llm-course - Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.