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

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)

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

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。

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

Notebooks for colab that use the TPU

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.

This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.

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

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

Notebook for SemEval-2019 Task 3

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

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

A scientific benchmark and comparison of the performance of sentiment analysis models in NLP on small to medium datasets

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

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

Notebook on finetuning BERT