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The rise of social media and online communities creates safe and anonymous spaces for individuals to share their thoughts about their mental health and express their feelings and sufferings in online communities. To prevent suicide, it is necessary to detect suicide-related posts and user's suicide ideation in cyberspace by natural language process

License: MIT License

Jupyter Notebook 98.93% Python 0.23% JavaScript 0.10% CSS 0.58% HTML 0.16%
flask gpt4 numpy python tensorflow

aisocialgood's Introduction

Why miracle, that's because it's mostly not happen.

Services

  • [folking bitcoin rune pump.fun]: buy/sell according to the bonding curve(just have mvp now)
  • [rune airdrop site]: airdrop runes to large amount of users keeping the most optimzed fee. it provides both of different amount's and same amount's rune token airdrop(https://github.com/libraiger/runeAirdropBE)
  • [bitcoin multisig service]: This service offers whatever related to the multisig function and this enhances the security between co-owners in community. (it can be creating pool or rune staking, etc)
  • [bitcoin game]: ordinal map game - assign specific traits (like a food chain) to every ordinals so users can win/lose in game.

Additionally, crash, raffle(https://github.com/libraiger/ordinalRaffleBE), etc Thanks!

aisocialgood's People

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