#Bert-model
Showing 13 of 13 repositories tagged #bert-model, ranked by stars
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
Portuguese pre-trained BERT models
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
BERT-NER (nert-bert) with google bert https://github.com/google-research.
Triple Branch BERT Siamese Network for fake news classification on LIAR-PLUS dataset in PyTorch
This is a repo of basic Machine Learning what I learn. More to go...
AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀
Open Source Generative AI Models for Automatic Rhythm Game Beatmap Generation (for acoustic people)
A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-authored :rocket:
Training-free Neural Architecture Search (NAS) Using Radial Basis Function (RBF) Kernel