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amazon-books-review

amazon-sagemaker-examples

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

bert

TensorFlow code and pre-trained models for BERT

bert-ner

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

bert-ner-1

Pytorch-Named-Entity-Recognition-with-BERT

database-management-essentials

Assignments of Coursera Course "Database Management Essentials".

drnn

Disconnected Recurrent Neural Networks for Text Categorization implementation

fastapi

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

google-api-python-client

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

i-see-app

machine-learning-interview-questions

This repository is to prepare for Machine Learning interviews.

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

popularmovieapp

pycabook

Source of the book "Clean Architectures in Python"

pytorch-nlp

Basic Utilities for PyTorch Natural Language Processing (NLP)

recipes

reflections

tensorflow-nalu

A tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al. Paper: https://arxiv.org/abs/1808.00508

tf-idf-category-weighting-transformer

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

transformers

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

uvicorn-gunicorn-docker

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