PaddleHelix
DeBERTa
| PaddleHelix | DeBERTa | |
|---|---|---|
| 1 | 4 | |
| 1,050 | 2,020 | |
| 1.7% | 0.0% | |
| 8.3 | 3.6 | |
| 4 months ago | over 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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PaddleHelix
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Baidu and BioMap AI Research Open-Sources HelixFold-Single: An End-To-End MSA-Free Protein Structure Prediction Pipeline
Continue reading | Check out the paper and code.
DeBERTa
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🚀 Microsoft AI Introduce DeBERTa-V3: A Novel Pre-Training Paradigm for Language Models Based on the Combination of DeBERTa and ELECTRA
Quick Read: https://www.marktechpost.com/2023/03/23/microsoft-ai-introduce-deberta-v3-a-novel-pre-training-paradigm-for-language-models-based-on-the-combination-of-deberta-and-electra/ Paper: https://arxiv.org/pdf/2111.09543.pdf Github: https://github.com/microsoft/DeBERTa
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How do I fine-tune zero shot models?
The obvious answer is to look at how the Deberta model was trained for MNLI and copy that: github
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[D] Paper Explained - DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Full Video Analysis)
Code: https://github.com/microsoft/DeBERTa
- DeBERTa-0.9b/1.5b checkpoints released (SuperGLUE score: 89.9%)
What are some alternatives?
dipy - DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
BERTweet - BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)
Unsupervised-Classification - SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
clip-as-service - 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
eirli - An Empirical Investigation of Representation Learning for Imitation (EIRLI), NeurIPS'21
gector - Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)