🐍 The official Python client library for Google's discovery based APIs.

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Docker image with Uvicorn managed by Gunicorn for high-performance web applications in Python 3.6 with performance auto-tuning. Optionally with Alpine Linux.

Assignments of Coursera Course "Database Management Essentials".

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Basic Utilities for PyTorch Natural Language Processing (NLP)

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

Disconnected Recurrent Neural Networks for Text Categorization implementation

Pytorch-Named-Entity-Recognition-with-BERT

This repository is to prepare for Machine Learning interviews.

Source of the book "Clean Architectures in Python"

TensorFlow code and pre-trained models for BERT

Resources for "Natural Language Processing" Coursera course.

Tf-idf类目加权转换 Tf-idf-Category-weighting-transformer