[{"data":1,"prerenderedAt":117},["ShallowReactive",2],{"maker-reiinakano":3},[4,30,51,76,97],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":21,"domain":22,"tier":23,"attempts":12,"strip":24,"url":25,"mix":26,"praise":29,"objection":-1,"sub":18},14727932,"Scikit-plot","One-line functions for data science visualization",false,"data",2017,16,2,"quiet",null,61,[17,18,19,20],"scikit-learn","data visualization","machine learning plots","roc curve","reiinakano","github.com","shown","30","https:\u002F\u002Fgithub.com\u002Freiinakano\u002Fscikit-plot",[27,28,27,27],0,1,"Looks useful",{"id":31,"name":32,"line":33,"ai":8,"cat":34,"year":10,"points":35,"comments":36,"rec":13,"s":14,"top":37,"kw":38,"maker":21,"domain":22,"tier":44,"attempts":12,"strip":45,"url":46,"mix":47,"praise":49,"objection":50,"sub":40},14743513,"Xcessiv","Fully managed web application for automated machine learning","ai",108,5,19,[39,40,41,42,43],"stacked ensembling","automated machine learning","hyperparameter tuning","tpot","model ensembles","notable","50550","https:\u002F\u002Fgithub.com\u002Freiinakano\u002Fxcessiv",[48,27,27,27],3,"Complete, user-friendly and clear examples","README lacks explanation of stacked machine learning",{"id":52,"name":53,"line":54,"ai":8,"cat":55,"year":10,"points":56,"comments":57,"rec":58,"s":59,"top":60,"kw":61,"maker":21,"domain":22,"tier":67,"attempts":12,"strip":68,"url":69,"mix":70,"praise":74,"objection":75,"sub":62},15383336,"fast-style-transfer-deeplearnjs","Paint yourself in the style of classic art, in your browser","creative",266,99,"roasted",-0.41,4,[62,63,64,65,66],"style transfer","neural style","deeplearn.js","webgl","fast neural style","legend","5153000533111313311111350331111101311111","https:\u002F\u002Fgithub.com\u002Freiinakano\u002Ffast-style-transfer-deeplearnjs\u002F",[71,72,48,73],6,11,27,"Impressive results and cool effect","Very slow in browser and hangs on large images",{"id":77,"name":78,"line":79,"ai":8,"cat":34,"year":10,"points":80,"comments":81,"rec":82,"s":83,"top":84,"kw":85,"maker":21,"domain":91,"tier":44,"attempts":27,"strip":92,"url":93,"mix":94,"praise":-1,"objection":95,"sub":96},15629272,"GAN Playground","Play with Generative Adversarial Neural Nets In-Browser",97,14,"curious",-0.31,22,[86,87,88,89,90],"generative adversarial network","gan","neural network","browser","mnist","reiinakano.github.io","31010303331100","https:\u002F\u002Freiinakano.github.io\u002Fgan-playground",[27,36,27,60],"Training takes minutes and shows no visible progress at first","generative adversarial networks",{"id":98,"name":99,"line":100,"ai":8,"cat":55,"year":101,"points":102,"comments":103,"rec":104,"s":105,"top":106,"kw":107,"maker":21,"domain":22,"tier":23,"attempts":27,"strip":111,"url":112,"mix":113,"praise":114,"objection":115,"sub":116},18485657,"arbitrary-image-stylization-tfjs","Paint any photo in the style of any painting, directly in your browser",2018,46,8,"mixed",0.29,39,[62,63,108,109,110],"tensorflow.js","image stylization","browser machine learning","53033005","https:\u002F\u002Fgithub.com\u002Freiinakano\u002Farbitrary-image-stylization-tfjs",[12,12,28,27],"Results look amazing, especially the bricks and clouds styles","Low strength settings produce strong effects on the input image regardless of style","image style transfer",1793991225304]