Our great sponsors
|about 1 month ago||7 months ago|
|Apache License 2.0||MIT License|
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.
[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
12 projects | reddit.com/r/MachineLearning | 3 Mar 2023
The paid product came out of an open source tool: https://github.com/snorkel-team/snorkel
[Discussion] - "data sourcing will be more important than model building in the era of foundational model fine-tuning"
4 projects | reddit.com/r/MachineLearning | 3 Dec 2022
Can't use load_data from utils
2 projects | reddit.com/r/learnpython | 21 Feb 2022
Actually, I referenced it in my issue as well. There seems to be different utils.py file in different folders under the snorkel-tutorials repo but the utils file we get after importing snorkel has a different [file](https://github.com/snorkel-team/snorkel/blob/master/snorkel/utils/core.py) ,i.e. the utils file is different in the main snorkel repo
[D] A hand-picked selection of the best Python ML Libraries of 2021
2 projects | reddit.com/r/MachineLearning | 21 Dec 2021
Entity Extraction with Predefined List
2 projects | reddit.com/r/LanguageTechnology | 7 Jan 2023
Thanks for pointing me in the right direction. Seems like there’s a few other approaches with weak supervision: https://github.com/NorskRegnesentral/skweak
[P] Programmatic: Powerful Weak Labeling
2 projects | reddit.com/r/MachineLearning | 20 Apr 2022
Code for https://arxiv.org/abs/2104.09683 found: https://github.com/NorskRegnesentral/skweak
The hand-picked selection of the best Python libraries released in 2021
12 projects | reddit.com/r/Python | 21 Dec 2021
How to get Training data for NER?
2 projects | reddit.com/r/LanguageTechnology | 24 Apr 2021
I found this farmework: https://github.com/NorskRegnesentral/skweak and it looks great to automatically label data, but I would still need some kind of structured data in form of gazetters or another ML model to automatically annotate words.2 projects | reddit.com/r/LanguageTechnology | 24 Apr 2021
I'm the main developer behind skweak by the way, happy to hear you're interested in our toolkit :-) We do already have a small list of products (see https://github.com/NorskRegnesentral/skweak/blob/main/data/products.json) extracted from DBPedia and Wikidata, but it may not be exactly the type of products you're looking for.
What are some alternatives?
argilla - ✨Argilla: the open-source data curation platform for LLMs
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.
snorkel - A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel]
DearPy3D - Dear PyGui 3D Engine (prototyping)
snorkel-tutorials - A collection of tutorials for Snorkel
AugLy - A data augmentations library for audio, image, text, and video.
gradio - Create UIs for your machine learning model in Python in 3 minutes
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
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]