bert-sklearn
TabularSemanticParsing
| bert-sklearn | TabularSemanticParsing | |
|---|---|---|
| 1 | 1 | |
| 293 | 214 | |
| - | 0.5% | |
| 0.0 | 0.0 | |
| over 1 year ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
bert-sklearn
-
Quick BERT Pre-Trained Model for Sentiment Analysis with Scikit Wrapper
Sckit-learn wrapper provided by Charles Nainan. GitHub of Scikit Learn BERT wrapper.
TabularSemanticParsing
What are some alternatives?
bert - TensorFlow code and pre-trained models for BERT
ecco - Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.
fake-news - Building a fake news detector from initial ideation to model deployment
kruk - Ukrainian instruction-tuned language models and datasets
ml-course - Open Machine Learning course
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.
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
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.
adaptnlp - An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.