Text Classification with BERT

Understanding Hugging Face's implementation of BERT and GPT2

A deep learning production hello world using Docker (+Compose).

Implementation of different Natural Language Processing models and techniques like transformers, Naive-Bayes, word2vec, BERT, etc.

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

Application of `BERT` to extract the portions of a tweet that represent a particular sentiment.

Detecting fake news articles by analyzing patterns in writing.

Use BERT to classify Sentiment

Submission for advitiya techfest AI Hackathon using Bert for patent classification.

My personal BERT validation notebook.

Classification of real and not-real tweets, describing natural disasters using fine-tuned language representation models.

Fine tune BERT for multi-class classification using the Huggingface library

A repository dedicated to the workshops I give on natural language generation

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Snippets of nlp frameworks

Fine-tune BERT for sentiment analysis. I have done text preprocessing (special tokens, padding, and attention masks) and build a Sentiment Classifier using the amazing Transformers library by Hugging Face! I have train my model on kaggle notebook on gpu. The model give the accuracy of 95.14% on validation dataset.

Re-ranking task using MS MARCO dataset and Hugging Face library

Advanced NLP Workshop: word-sense disambiguation with RoBERTa and text summarization with BART (Machine Learning Milan)

Rhyme with AI

Predict short and long answer responses to real questions about Wikipedia articles.