zeroshot_topics
cleanlab
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zeroshot_topics | cleanlab | |
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3 | 5 | |
60 | 2,254 | |
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0.0 | 8.4 | |
11 months ago | almost 3 years ago | |
Python | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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zeroshot_topics
cleanlab
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[P] Confident Learning making ML QA 34x cheaper
Code for https://arxiv.org/abs/1911.00068 found: https://github.com/cgnorthcutt/cleanlab
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Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
Code: https://github.com/cgnorthcutt/cleanlab
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[D] Andrew Ng's data-centric vs model-centric Machine Learning
I am an author on this, so I am biased. Around half a decade ago, we began developing a field at MIT called confident learning [ paper | blog | reddit post ] that takes a data-centric approach: instead of improving the model quality, it improves the data label quality. It's used by Google, Facebook, and is open-sourced in Python as the cleanlab package.
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[R] Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks
đź‘ŤAn easy first step to find label errors in datasets is cleanlab: https://github.com/cgnorthcutt/cleanlab
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
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TabFormer - Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)
SSL4MIS - Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
kogpt - KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)
frame-semantic-transformer - Frame Semantic Parser based on T5 and FrameNet
awesome-open-data-annotation - Open Source Data Annotation & Labeling Tools
cappr - Completion After Prompt Probability. Make your LLM make a choice
dgl-ke - High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
prosodic - Prosodic: a metrical-phonological parser, written in Python. For English and Finnish, with flexible language support.
weasel - Weakly Supervised End-to-End Learning (NeurIPS 2021)