deepvaluebettor

deepvaluebettor's Stars

• dtsong/sleeper-api-wrapper

  A Python API wrapper for Sleeper's API: https://docs.sleeper.app/

  Language:Python7325

• gamcoh/st-card

  Streamlit component for UI cards

  Language:TypeScript12021

• michaelshimeles/nextjs-starter-kit

  The Ulimate Nextjs Starter Kit. Build your next SAAS product of your dreams. Batteries included.

  Language:TypeScript1.3k326

• Kiranism/next-shadcn-dashboard-starter

  Admin Dashboard Starter with Nextjs14 and shadcn ui

  Language:TypeScript3.2k733

• machow/reactable-py

  Language:JavaScript542

• jakobhoeg/enhanced-button

  An enhanced version of the default shadcn-button component

  Language:TypeScript66924

• Sven-Bo/streamlit-shadcn-dashboard

  Language:Python141

• ObservedObserver/streamlit-shadcn-ui

  Using shadcn-ui components in streamlit

  Language:TypeScript83666

• dlm1223/march-madness

  System for selecting optimal march madness brackets

  Language:R163

• ArunkumarRamanan/KaggleMarchMadnessFirstPlace

  This is my winning solution for Kaggle's Google Cloud & NCAA ML Competition 2019-Men's challenge

  Language:R16

• kylebarlow/marchmadness

  Python script to auto-generate "quick pick" march madness brackets from probability input (as in the format of the 538 data)

  Language:Python166

• jimpo/march-madness-dapp

  Decentralized March Madness bracket pool application.

  Language:JavaScript195

• oliver-lloyd/twitch-listener

  Easy python bot for scraping Twitch chat data

  Language:Python4411

• shomikj/sports_sentiment

  Sentiment Analysis for tweets during the 2018 March Madness Tournament

  Language:Python2

• elishayer/mRchmadness

  NCAA men's basketball data scraping and bracketology R package

  Language:R1810

• jthomasmock/nflscrapRextra

  Helper functions for working with nflscrapR data

  Language:R2

• reillymegan/nfl

  Side project on fivethirtyeight data

  Language:R1

• CaioBrighenti/nfl-draft-sentiment

  This is a WIP project to stream comments from the /r/NFL subreddit and perform real-time sentiment analysis to gauge fan reactions during the 2020 NFL draft.

  Language:R274