Multimodal
bert-sklearn
Multimodal | bert-sklearn | |
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1 | 1 | |
8 | 293 | |
- | - | |
0.0 | 0.0 | |
about 2 years ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | Apache License 2.0 |
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Multimodal
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I created a DIY python package to ensemble multimodal models
Code: kritiksoman/Multimodal: Listen. Write. Speak. Read. Think. (github.com)
bert-sklearn
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Quick BERT Pre-Trained Model for Sentiment Analysis with Scikit Wrapper
Sckit-learn wrapper provided by Charles Nainan. GitHub of Scikit Learn BERT wrapper.
What are some alternatives?
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
bert - TensorFlow code and pre-trained models for BERT
NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.
OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.
kruk - Ukrainian instruction-tuned language models and datasets
fake-news - Building a fake news detector from initial ideation to model deployment
ABSA_Project_4 - This project takes advantange of the parsing and part of speech tagging capabilites of Spacy's pipeline in order to extract aspect/opinion/sentiment triplets. Cluster aspects using unsupervised learning to process sentiment for large amazon review datasets.
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
TabularSemanticParsing - Translating natural language questions to a structured query language
German-NER-BERT - German NER on Legal Data using BERT
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.