compose
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| compose | snorkel | |
|---|---|---|
| 1 | 5 | |
| 472 | 5,701 | |
| 1.3% | 0.7% | |
| 5.2 | 5.5 | |
| 2 months ago | about 2 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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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.
compose
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20+ Free Tools & Resources for Machine Learning
Compose Compose targets labeling raw data, allowing you to set labeling functions for your data in Python in order to make the labeling process easier.
snorkel
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
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"
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Can't use load_data from utils
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
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[Discussion] Methods for enhancing high-quality dataset A with low-quality dataset
Snorkel (https://github.com/snorkel-team/snorkel) might provide you exactly what you are looking for. From the docs:
What are some alternatives?
DeepLearningKit - Open Source Deep Learning Framework for Apple's iOS, OS X and tvOS -
skweak - skweak: A software toolkit for weak supervision applied to NLP tasks
Keras - Deep Learning for humans
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
snorkel - A system for quickly generating training data with weak supervision [Moved to: https://github.com/snorkel-team/snorkel]
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
awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning