🗞️ Weekly Roundup: 2020 word clouds, interactive graphs with Pyvis, NFL receiver dashboards and more!

[Jessica_Smith]

Welcome to the Weekly Roundup!

12/21/20 - 01/03/21
Issue - V33

Every week we’ll share community-driven apps and articles that were shared with us during the previous week as well as any major announcements from Streamlit. If there is anything we missed feel free to add it in a comment or @ us on Twitter!

• = articles
• = videos
• = apps

Streamlit Updates

• If you haven’t signed up for Streamlit sharing yet - join here. If you have - send a dm to @tc1 or @randyzwitch to get access!
• Check out the Streamlit sharing badge for your GitHub repos:
  

Tutorials/Introduction

• Deploying a Web App with Streamlit Sharing
• How to use trending Twitter Hashtags and Google Keywords in 2020 to build word clouds
• Build an Interactive Web App for Data Science Projects with Streamlit - Part 3
• Build an Interactive Web App for Data Science Projects with Streamlit - Part 4
• Deploy and Host your Data Science Project
• Streamlitで札幌のオープンデータを可視化する
• PyCaret and Streamlit: How to Create and Deploy Data Science Web App
• A dashboard to visualize DeGroot learning on networks with Python and Streamlit
• Refactoring Streamlit Apps From Monolith to Modular (Modulith) @Jesse_Jcharis
• How to Build a Machine Learning App (Streamlit + Scikit-learn in Python)
• How To Build a Web App To Download YouTube Videos in 30 Lines of Code — Python Project Tutorials
• Introduction to StreamLit - ML Series
• How to Build a ML Hyperparameter Optimization App (Streamlit + Scikit-learn + Python)
• Streamlit - Python Library - The Fastest Way To Build Data Apps
• Mammals dataset - Streamlit - Tidy Data (Python pandas) -Part I
• Mammals dataset - Streamlit - Tidy Data (Python pandas) - Part II
• Building an Email Extractor App with Streamlit & Python (2021) @Jesse_JCharis
• Build a ML Web App for Stock Market Prediction From Daily News With Streamlit and Python
• 1. Streamlit - Introduction, installation and launch
• 2. How to develop a webpage with Streamlit?
• 3. Streamlit - Application Development Possibilities - GIT Links - Prebuilt demos
• Streamlit on Colab with Ngrok to expose URL and adding Nginx as proxy
• Building a Content-Based Food Recommendation Engine
• How to build Machine learning APP using FastAPI, Swagger & Streamlit?
• How to build Machine learning APP using FastAPI, Swagger , Streamlit & Docker?
• Real-time Dashboard App with Kafka, Beam, Dataflow, BigQuery, Data Studio, and Streamlit
• Traingenerator — Code Generator for Machine Learning
• Deploy Code With Streamlit
• Embed molecular editor into Streamlit app
• Pythonのステキなライブラリ「Streamlit」でインタラクティブなツールを作る！
• Market Mix Modeling using Pycaret and Streamlit (part 2)!!
• streamlitで遊ぼう！
• Deploying a Model to Streamlit
• Build a Machine Learning Web App with Streamlit and Python [ Heroku Deployment ]
• Creating a Streamlit web app, building with Docker + GitHub Actions, and hosting on Heroku

Science and Tech

• Brain Tumor Classifier @Manikanta_Yakkala
• MedSpaCy
• Monitoraggio TI e decessi su base regionale
• [コード付き]Streamlitで胸部X線の肺炎解析アプリを作る
• Let me count the leaves for you — A Deep Learning Case Study
• Chest X-Ray Classification Application

NLP & Language

• FB Wit.ai App - DevCoder @sharan19
• Text Matching
• POS (Part of Speech) Tagging App.
• Analysis of ELMo and BERT embedding similarity for similar sentences
• Sentence translation using Seq2Seq - Attention.
• Embeddings & Semantic Search App
• NLP BOX with Streamlit
• ScamWatch
• EU, UK & NI deal

Data Visualization

• YOUR 2020 IN BOOKS @mennanist
• Interactive Networks (graphs) with Pyvis @napoles3d
• Data Visuzalization App
• Streamlit app for PIVPy
• function_zoo
• Analyze API Rotational Viscometer Data
• Downloads/Usage
• 2020 In A Wrap

CV & Images

• Qual é a raça do meu dog?
• Aplicar filtros imagens
• Steel Defect Detection using Deep Learning
• A streamlit face detection and photo editing app.
• Neural Style Transfer
• Style transfer web app @Charly_Wargnier
• Web Application: Open CV and Filters
• Identificar placas automotivas
• Style transfer
• Streamlit App : Road Damage Detection for multiple countries using one of the state of art “YOLOv3” architecture
• Skymagic using Streamlit @AdityaNikhil

Sports

• NFL Receiver Dashboard
• Barsa Data

Games/Fun

• Awesome Movie Picker @franasa
• Zero-shot Emotion Detection for Christmas Lyrics
• Streamlit Pokedex
• My Peloton Pal
• Eu curto mais Pearl Jam do que você!

Finance & Business

• Home Credit Loan Default Risk
• MD proyecto streamlit
• Financial Timeseries Dashboard

Geography & Society

• 日本の空港間流通量
• Uber for NYC
• Pirámides de población por localidad
• Streamlit-MBScraper @CodewithRv

Model Building & Training

• Document Similarity using Custom Word2Vec
• Machine Learning Classifier App
• Automatic code generator for training Reinforcement Learning policies

General

• Predict the House Price
• Streamlit Webapp AirBnb predictor
• Employee Retention
• Predicting the sale price of bulldozers

Cool happenings and other things

• Ever heard of Streamlit? Python/WebDev
• nlp model selection app
• Authenticated Full-Stack Streamlit with Docker WIP @Eddie

Follow us

• Twitter

[AdityaNikhil]

Hey @Jessica_Smith ,

Thank you so much for posting my app here. (Skymagic using Streamlit under CV & Images Category). I wanted to give a small update about the app. I recently got access to streamlit share and I successfully deployed my app HERE.

Do check it out and let me know your thoughts!
Also the app is currently very slow as it’s running on cloud cpu.

Can you help me?!

It’ll be great if you could extend an invitation for GPU access.

Thank you!

[randyzwitch]

Hi @AdityaNikhil -

GPU access is not supported on Streamlit sharing.

Best,
Randy

[AdityaNikhil]

Hey @randyzwitch,
Okay can I at least get more resources for this app?!

[rupak-roy]

thanks for posting my ML Classifier app in the community. i m trying my best to develop the worlds first full-fledge machine learning studio app better than SAS,R-studio, for non-tech people without a single line of coding to take advantage and harvest the power of Ai/machine learning for their business as well as organizational solutions

[Eddie]

Thank for sharing my code! I feel like a superstar !