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afinn

AFINN sentiment analysis in Python

aspect-sentiment-analysis-on-amazon-reviews

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-ner-tf

Named Entity Recognition with BERT using TensorFlow 2.0

code_snippets

covid-19-detection-flask-app-based-on-chest-x-rays-and-ct-scans

COVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were trained for 500 epochs on around 1000 Chest X-rays and around 750 CT Scan images on Google Colab GPU. A Flask App was later developed wherein user can upload Chest X-rays or CT Scans and get the output of possibility of COVID infection.

data-analysis

flask-aws-tutorial

Flask app that will get you up and running on AWS (also uses RDS as a database)

flask-by-example

flask, heroku, environment variables, sqlalchemy, flask-migrate, redis

flask-dropzone

Upload file in Flask application with Dropzone.js

harry_potter_nlp

Harry Potter and the Allocation of Dirichlet

kubernetes-engine-samples

Sample applications for Google Kubernetes Engine (GKE)

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

natural-language-processing

python-machine-learning-blueprints-second-edition

Python Machine Learning Blueprints - Second Edition, published by Packt

sippycup

SippyCup is a simple semantic parser, written in Python, created purely for didactic purposes.

skin_lesions_classification_dcnns

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

solvingalmostanythingwithbert

BioBert Pytorch

transformers

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