[{"data":1,"prerenderedAt":149},["ShallowReactive",2],{"maker-vpj":3},[4,30,47,71,96,114,132],{"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":20,"domain":21,"tier":22,"attempts":23,"strip":24,"url":25,"mix":26,"praise":-1,"objection":28,"sub":29},11593731,"models","Open sourcing nearby.lk data models library",false,"dev_tools",2016,15,3,"quiet",null,62,[17,18,19],"data models","open source","nearby.lk","vpj","vpj.github.io","shown",0,"101","http:\u002F\u002Fvpj.github.io\u002Fmodels.html",[23,23,23,27],2,"Project website would not load or showed a blank page","data models library",{"id":31,"name":32,"line":33,"ai":8,"cat":34,"year":35,"points":36,"comments":23,"rec":13,"s":14,"top":37,"kw":38,"maker":20,"domain":42,"tier":22,"attempts":23,"strip":43,"url":44,"mix":45,"praise":-1,"objection":-1,"sub":46},18486829,"Lab","Organize machine learning experiments","ai",2018,20,56,[39,40,41],"machine learning","experiment tracking","ml experiments","blog.varunajayasiri.com","","http:\u002F\u002Fblog.varunajayasiri.com\u002Fml\u002Flab\u002Flab_getting_started.html",[23,23,23,23],"ml experiment tracking",{"id":48,"name":49,"line":50,"ai":8,"cat":34,"year":51,"points":52,"comments":53,"rec":54,"s":23,"top":55,"kw":56,"maker":20,"domain":61,"tier":62,"attempts":23,"strip":63,"url":64,"mix":65,"praise":68,"objection":69,"sub":70},20374800,"python_autocomplete","Autocomplete Python with Deep Learning",2019,109,11,"curious",21,[57,58,59,60],"python autocomplete","deep learning code completion","character language model","code prediction","github.com","notable","5033330031","https:\u002F\u002Fgithub.com\u002Fvpj\u002Fpython_autocomplete",[66,67,23,66],1,5,"Interesting idea, could be used for phone coding keyboards","Commenter questions whether it beats language server completion like RLS","code completion",{"id":72,"name":73,"line":74,"ai":8,"cat":75,"year":76,"points":77,"comments":78,"rec":79,"s":80,"top":81,"kw":82,"maker":20,"domain":88,"tier":89,"attempts":23,"strip":90,"url":91,"mix":92,"praise":93,"objection":94,"sub":95},25967641,"labml.ai","Collection of deep learning implementations with side-by-side notes","learning_science",2021,251,17,"mixed",0.27,6,[83,84,85,86,87],"deep learning","pytorch implementations","literate programming","transformer","gan","nn.labml.ai","legend","00000035500000033","https:\u002F\u002Fnn.labml.ai",[27,27,66,23],"Side-by-side notes make the code clear and easy to follow","Commenting style is not really literate programming; mostly moved comments to a sidebar","deep learning reference",{"id":97,"name":98,"line":99,"ai":8,"cat":100,"year":76,"points":101,"comments":102,"rec":13,"s":14,"top":103,"kw":104,"maker":20,"domain":61,"tier":22,"attempts":23,"strip":109,"url":110,"mix":111,"praise":112,"objection":113,"sub":108},26355243,"labml","Monitor server hardware usage from phone","infrastructure",33,4,44,[105,106,107,108],"hardware monitoring","gpu monitoring","model training","server monitoring","1035","https:\u002F\u002Fgithub.com\u002Flab-ml\u002Flabml\u002Fblob\u002Fmaster\u002Fguides\u002Fhardware_monitoring.md",[66,23,66,66],"Phone monitoring idea is appealing","Phone screens are too small to monitor servers well",{"id":115,"name":116,"line":117,"ai":8,"cat":34,"year":76,"points":118,"comments":27,"rec":13,"s":14,"top":119,"kw":120,"maker":20,"domain":125,"tier":22,"attempts":23,"strip":126,"url":127,"mix":128,"praise":129,"objection":130,"sub":131},28097091,"labml papers weekly","Trending Machine Learning Papers on Twitter",14,66,[121,122,123,124],"machine learning papers","trending papers","arxiv twitter","ai research","papers.labml.ai","30","https:\u002F\u002Fpapers.labml.ai\u002Fpapers\u002Fweekly\u002F",[23,23,66,23],"Commenter finds the site very nice","Abstract text is hard to read on iPhone due to low contrast","research paper digest",{"id":133,"name":134,"line":135,"ai":8,"cat":34,"year":136,"points":67,"comments":81,"rec":54,"s":137,"top":138,"kw":139,"maker":20,"domain":134,"tier":22,"attempts":23,"strip":143,"url":144,"mix":145,"praise":146,"objection":147,"sub":148},32648846,"diffusion.labml.ai","Generate Images with Stable Diffusion",2022,-0.06,92,[140,141,142,98],"stable diffusion","text to image","ai image generator","331333","https:\u002F\u002Fdiffusion.labml.ai\u002F",[23,102,66,66],"Fast and requires no login","Queue backs up and generations stall under load","image generation",1794036746236]