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fastapi-best-practices

FastAPI Best Practices and Conventions we used @ hi.peerlink.me

fastapi-github-actions-test

fastapi-nano

🐍 Simple FastAPI template with factory pattern architecture

fastapi-realworld-example-app

Backend logic implementation for https://github.com/gothinkster/realworld with awesome FastAPI

fastapi_tutorial

fastbook

The fastai book, published as Jupyter Notebooks

flask-plotly

flask-react-spa

A production-ready boilerplate built with Python 3, Flask and ES6 React/Redux

flask-rest-setup

Notes on Flask REST API and tutorial

flask-scraper

Runs web scraper from flask app

football_player_recognition

fullstack-data-science-old

garage

gatech-isye6501

getting-things-done-with-pytorch

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, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases.

github-readme-stats

:zap: Dynamically generated stats for your github readmes

hands-on-gradient-boosting-with-xgboost-and-scikit-learn

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

hands-on-machine-learning-using-amazon-sagemaker-v-

Hands-On Machine Learning Using Amazon SageMaker [video], published by Packt

holoviz

High-level tools to simplify visualization in Python (www.holoviz.org).

hoopla

NBA Analytics

hunter-dkim

Discusses how to verify DKIM signatures in old emails, namely one of the Hunter Biden emails in the news

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

insider_trading

interactive-coding-challenges

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

intermediatepython

interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

jupyter-datatables

Jupyter Notebook extension leveraging pandas DataFrames by integrating DataTables and ChartJS.

jupyter-notebook-docker-compose

A docker-compose file for launching Jupyter Notebooks in a container.

kaggle_ncaa_womens_2019

Solution for 3rd place finish in Kaggle's NCAA March Madness 2019 Tournament