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efwoods
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Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
Improvement upon the IEEE Sensors Journal research of decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting.
Sample application for demonstrating container platforms and related technology
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python…
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
😎 Awesome lists about all kinds of interesting topics
📚 Freely available programming books
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
A curated list of awesome things related to FastAPI
Visualize Tensorflow's optimizers.
⚡ Dynamically generated stats for your github readmes
Sentiment Analysis of tweets using the sentiment 140 dataset. Compares & contrasts the efficacy of various modeling techniques. Detects depression in tweets.
FastAPI for Machine Learning: Live coding an ML web application.
A toolkit that streamlines and automates the generation of model cards
Sample code for the Twitter API v2 endpoints
efwoods / fastapi
Forked from fastapi/fastapiFastAPI framework, high performance, easy to learn, fast to code, ready for production
efwoods / demo-oauth-client
Forked from authlib/demo-oauth-clientDemo for Flask, Django, and Starlette OAuth clients with Authlib>=v0.13
efwoods / Deploy-ML-Models-using-FastAPI-and-AWS-Lightsail
Forked from Nneji123/Deploy-ML-Models-using-FastAPI-and-AWS-LightsailHow to Deploy Machine Learning Models with FastAPI and AWS Lightsail
This body of work posts tweets of my favorite inspiring quotes to people who are #depressed based upon the their historical likes of twitter content. The purpose is to give them a moment where they…
A small Python program to generate tweets.
A production ready example Flask app that's using Docker and Docker Compose.
a live chat built with python(flask + gevent + apscheduler) + redis
This is a bot that catches Twitter spam bots.
