jrieke / best-of-streamlit Goto Github PK

Project details:

• Project Name: Garreg Mach Project
• Github URL: https://github.com/wangaustin/garregmach
• App URL (if it's deployed): https://garregmach.streamlit.app
• Category: non-ml

Additional context:

The Garreg Mach Project aims to reduce costs associated with higher education, one step at a time.

Currently, the GMP Library is fully online for public use. The Library allows people to add links to academic resources in association with a particular course. This mandatory association is what sets it apart from other resource sharing websites such as libgen, as it allows the system to easily filter queries. So, if I only want to see the resources for the Modern Philosophy course at Vanderbilt University taught my Dr. Wuerth, for instance, the system can efficiently query that. The association also adds another layer of filter as it has presumably been deemed related to this course by the original uploader. The goal of the GMP Library is for students who are good at finding the locations of digital resources to help those who are not. This way, students will hopefully reduce the amount of money needed to spend on physical copies of the academic resources simply because they could not find them online.

In the future, I hope to expand the Garreg Mach Project to include other features that help reduce higher education costs.

As of now, this project only uses streamlit and mongoDB with very minimal dependencies. It should be a decent starting point as a demo for people who want to create a simple CRUD app with streamlit.

Project details:

• Project Name: Covid-19: Tracking of vaccines and infections in Italy
• Github URL: https://github.com/francesconazzaro/covid19-portal
• App URL (if it's deployed): https://covid19-portal.herokuapp.com/
• Category: sci-tech

Additional context:

Analyse data for COVID-19 vaccines administrations and COVID-19 infections in Italy.

Project details:

• Project Name: DataQtor
• Github URL: https://github.com/baligoyem/dataqtor
• App URL (if it's deployed): https://share.streamlit.io/baligoyem/dataqtor/main/home.py
• Category: non-ml
• image:
• github_id: @baligoyem
• show: True

Additional context:

Your Data Quality Detector
Get your data ready for use before you start working with it

Project details:

• Project Name: NomNaSite
• Github URL: https://github.com/ds4v/NomNaSite
• App URL (if it's deployed): https://nomnasite.streamlit.app
• Category: cv, nlp

Additional context:

• Demo: https://youtu.be/o5xpfwalEWw

An end-to-end OCR application (Text Detection + Text Recognition), which leverages Deep Learning to digitize old Vietnamese handwritten for historical documents archiving.

Project details:

• Project Name: AutoML on R Datasets
• Github URL: https://github.com/topher-lo/automl-rdatasets
• App URL (if it's deployed): https://share.streamlit.io/topher-lo/automl-rdatasets/main/app.py
• Category: ml

Additional context:
Search for R datasets using spaCy, then perform AutoML with TPOT!

Thanks!
Hi @jrieke! Just wanted to thank you in advance for creating this awesome repo. I made this mini-app that searches for R datasets using word embeddings and cosine similarity, then generates ML code using TPOT. The UI was inspired by your app traingenerator, which I cited in automl-rdataset's README, and I want to thank you for the inspiration.

I believe that Streamlit facilitates the development of "low-code" ML apps (such as traingenerator) and this is my tiny contribution to that space. Hope it can be added to the best-of-streamlit repo! :) Thank you @jrieke

• Github URL: https://github.com/paduel/streamlit_finance_chart
• Category: Business & Economy

Project details:

• Project Name: Ask me anything
• Github URL: https://github.com/apugoneappu/ask_me_anything
• Category: ml, cv, nlp
• License:
• Package Managers:

Additional context:

• Project website/demo: https://www.apoorvesinghal.com/vqa

This is a Visual Question Answering tool. You can ask a question about images, and the VQA system will answer them. Additionally, I have also visualised the regions of the image that the system looks at to answer. We can also see the words of the question that the system focuses on.

Project details:
Summarize, paraphrase, measure text and more!
We know that learning happens best when content is personalized to meet our needs and strengths. For this reason we designed SYNTHIA 🤖, the AI system to accelerate and design your knowledge, totally for free!

• Project Name: SYNTHIA
• Github URL: https://github.com/dlopezyse/Synthia
• App URL (if it's deployed): https://share.streamlit.io/dlopezyse/synthia/main
• Category: nlp

Additional context:

Project details:

• Project Name: FGTD (Face Generation from Textual Description)
• Github URL: https://github.com/ELITA04/FGTD-Streamlit/
• App URL (if it's deployed): https://share.streamlit.io/ELITA04/FGTD-Streamlit/app.py/
• Category: ml

Additional context:

• GIF: https://github.com/ELITA04/FGTD-Streamlit/blob/master/assets/streamlit-demo.gif

Project details:

• Project Name: Build Your First Data Visualization Web App in Python Using Streamlit
• Github URL: https://github.com/maladeep/palmerpenguins-streamlit-eda
• App URL (if it's deployed): https://explore-palmer-penguins.herokuapp.com
• Category: Science & Technology

Additional context:

• Blog: https://towardsdatascience.com/build-your-first-data-visualization-web-app-in-python-using-streamlit-37e4c83a85db

Project details:

A simple wrap for oauth2 authorization code grant flow using httpx_oauth

• Project Name: Streamlit-OAuth
• Github URL: https://github.com/dnplus/streamlit-oauth
• App URL (if it's deployed): https://g-openid-demo.streamlit.app/
• Category: extensions

Additional context:
Intro article
https://medium.com/@dnplus

Project details:

• Project Name: VQGAN-CLIP App
• Github URL: https://github.com/tnwei/vqgan-clip-app
• App URL (if it's deployed):
• Category: cv

Additional context:

Combines VQGAN and CLIP to allow users to generate images from a text prompt

Hi, here is a new app to train, optimize and explain time series forecasting models visually!

Project details:

• Project Name: Streamlit Prophet
• Github URL: https://github.com/artefactory-global/streamlit_prophet
• App URL (if it's deployed): https://share.streamlit.io/maximelutel/streamlit_prophet/main/streamlit_prophet/app/dashboard.py
• Category: General Machine Learning

Additional context:

Here is a short article outlining the app's main features:
https://medium.com/artefact-engineering-and-data-science/visual-time-series-forecasting-with-streamlit-prophet-71d86a769928

Project details:

• Project Name: Cannabis Recommendation using OpenAI - ChatGPT
• Github URL: https://github.com/nikhiljha97/cannabis-recommendation-using-ML
• App URL (if it's deployed): https://nikhiljha97-cannabis-recommendation-using-ml-main-tuhvuk.streamlit.app/
• Category: ML

Additional context:

This project is based on ChatGPT which recommend the top 3 Cannabis Strains for the user based on the After-Effects and the Flavor chosen by the user. There is also an existing dataset, which is used to extract the description of the suggested strains(from ChatGPT).

Project details:

• Project Name:JobScanGPT
• Github URL:https://github.com/yuting1214/JobScanGPT
• App URL (if it's deployed):https://jobscangpt.streamlit.app/
• Category:nlp
• image: https://github.com/yuting1214/JobScanGPT/blob/main/material/JobScanGPT_Demo.gif
  Additional context: