Augur VS TFlearn

People have brought new markets such as virtual lands and more to the limelight. Some of them include Kirin's learn-to-earn project, in which you can answer quizzes and tests to earn crypto assets, Aavegotchi and YOLOrekt's bid to earn. They are distinct, but they both perform the same B2E function. In Aavegotchi, the Aavegotchi B2E auction modifies at least one of the four personality traits of an Aavegotchi:... Source: over 1 year ago

Yes “handicappers” come up with the odds/spread for sports and some off the wall stuff. “Prediction markets” is a big thing in crypto. And yes you can create your own “outcome” for an event that people can bet on. If you wanna check out the most popular prediction market and see all the crazy things people are betting on here’s Augur https://augur.net/. Source: almost 2 years ago

It's not exactly new? There were several general betting market in crypto, but they never got much popularity. https://augur.net/ https://polymarket.com/. - Source: Hacker News / almost 2 years ago

Example of web 3 platforms are Steemit, Diaspora, Augur, Opensea, Everledger among many others while examples of Web 2 platforms are Facebook, Twitter, Binance, Upwork. - Source: dev.to / about 2 years ago

Https://augur.net (bets on real world events). Source: about 2 years ago

TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / over 1 year ago

Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago