saccofrancesco / deepshot
DeepShot is a machine learning model designed to predict NBA game outcomes using advanced team statistics and rolling averages. It combines historical performance trends with contextual game data to deliver highly accurate win predictions (67.16%)
☆18Updated this week
Alternatives and similar repositories for deepshot:
Users that are interested in deepshot are comparing it to the libraries listed below
- advanced high-performance matching engine for financial trading systems☆25Updated 4 months ago
- TypeLeap☆12Updated last month
- An unofficial API for Venmo.☆70Updated 2 months ago
- ☆35Updated last month
- A simple app for downloading YouTube Shorts transcripts. Built to self-host with Python and Streamlit. Free and open source.☆29Updated 4 months ago
- A P2P blog and P2P Chat with no signalling server. Nothin' but RTC!☆14Updated last year
- Multi-model transactional embedded database☆68Updated 4 months ago
- ☆27Updated last year
- A JPEG Image Compression Service using Part Homomorphic Encryption.☆30Updated last month
- COBOL for serverless headless browsers☆25Updated 6 months ago
- Save your code to GitHub and never worry about losing your work. Vibe code safely with vibe saver.☆11Updated 2 weeks ago
- ☆16Updated last year
- Documentation for the Krixik Python client.☆38Updated 5 months ago
- A collection of tamagotchi characters to give AI assistants an identity.☆53Updated 5 months ago
- Chat strategies for LLMs☆94Updated 8 months ago
- ☆20Updated 5 months ago
- An AI-powered data tool. Build dashboards in seconds using AI☆35Updated this week
- Visual inference exploration & experimentation playground