Curve加速器

Just draw the paths of movement to avoid obstacles! It's really fun and exciting ;)

Desvie de tudo, colete coins e salte durante um ambiente desafiador e colorido que irá te fazer relaxar e ao mesmo tempo desafiar. Dodge it all, collect coins and jump during a challenging and colorful environment that will make you relax and challenge yourself at the same time.

curve driver是一款非常不错的赛车类游戏，游戏中玩家需要通过自己高超的反应能力，快速征服赛道获得最后的胜利，相信不少的用户都会喜欢，赶紧下载吧！

Curve Wars is a hooking and challenging local wifi multiplayer game based on the as simple as brilliant gameplay of "Achtung, die Kurve!". Play alone, or even better, play together with your friends and show them who's best! The classic gameplay (also known from "Zatacka", "IpCurve", "Snake" or Tron's "Light Cycles") is expanded by new elements. The objective is to stay alive as long as possible to be the last player surviving. While you're alive, you earn points for every other player who dies. Winner is the player with the most points. Increase your chances with mighty powerups or simply earn more points by collecting coins. Up to 6 players can play together including 3 types of bots. Indeed, Curve Wars makes the most fun when playing it with friends, but you can also play alone fighting against our bots.

Light and curvy wire trying to make it's way. Simple and fun game play with catchy music, unlockable curve colors and Google Play Games leaderboards. Try it :)Music:Heartwarming by Kevin MacLeod http://tinyurl.com/m5qal

The Curve Predictor Project is a game with a purpose and a part of a master thesis on machine learning. Given time series, you must predict their evolution on a period of time. You can use three types of prediction: a prediction of the trend, of the value at close or a plus/minus choice. The more accurate you are the more money you win! You can indicate your confidence in your prediction in order to win more... or loose more.The goal of this project is to evalute the humans' capacity to predict time series and compare it to supervised algorithms. It also aims to find if humans are more accurate than machines for certain kinds of series or vice versa. For more information, check out the official website of the project.