NLP 领域常见任务的实现，包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。

This repo contains all the notebooks mentioned in blog.

Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.

NLP学习笔记的Notebook，包含经典模型的理解与相关实践。

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Notebooks for colab that use the TPU

Codes, scripts, and notebooks on various aspects of transformer models.

Notebook for SemEval-2019 Task 3

利用预训练BERT进行真假判定，情感分析等

Notebooks for classes in Spanish and English on cutting edge end-to-end NLP (Natural Language Processing).

Learning about Bert models trainned on CUAD for "Contract Review" using Jupyter Notebooks

A jupyter notebook, Text classificaiton using BERT: Bidirectional Encoder Representations from Transformers

Code and notebook for text summarization with BERT along with a simple baseline model. Includes a research-backed treatment on the state of transfer learning, pretrained models, NLP metrics, and summarization dataset resources.

Notebooks for teaching transformers and fine-tuning a pre-trained BERT model

Notebook on finetuning BERT

Notebooks Colab das atividades práticas da disciplina de Tópicos Especiais em Computação: Semântica e Recuperação de Informação.

Repository with Deep Learning implementations in Jupyter Notebooks