fake-news
bert-sklearn
| fake-news | bert-sklearn | |
|---|---|---|
| 1 | 1 | |
| 130 | 293 | |
| - | - | |
| 4.1 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU Affero General Public License v3.0 | Apache License 2.0 |
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fake-news
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Building an End-to-End Machine Learning Application From Idea to Deployment
Hi I had the same issue I think code for EDA part is in https://github.com/mihail911/fake-news/blob/master/notebooks/data_analysis.ipynb
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?
onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
bert - TensorFlow code and pre-trained models for BERT
mt5-M2M-comparison - Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75
OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.
fastMONAI - Simplifying deep learning for medical imaging
kruk - Ukrainian instruction-tuned language models and datasets
mlf-core - CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.
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.
peacasso - UI interface for experimenting with multimodal (text, image) models (stable diffusion).
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.
TabularSemanticParsing - Translating natural language questions to a structured query language
tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).