![]() ImageNet on Image Classification already exists with metrics Top 1 Accuracy and Top 5 Accuracy. You should check if a benchmark already exists to prevent duplication if it doesn’t exist you can create a new dataset. Then choose a task, dataset and metric name from the Papers With Code taxonomy. You can manually edit the incorrect or missing fields. How do I add a new result from a table? Click on a cell in a table on the left hand side where the result comes from. Help! Don’t worry! If you make mistakes we can revert them: everything is versioned! So just tell us on the Slack channel if you’ve accidentally deleted something (and so on) - it’s not a problem at all, so just go for it! I’m editing for the first time and scared of making mistakes. Where do referenced results come from? If we find referenced results in a table to other papers, we show a parsed reference box that editors can use to annotate to get these extra results from other papers. Where do suggested results come from? We have a machine learning model running in the background that makes suggestions on papers. Blue is a referenced result that originates from a different paper. What do the colors mean? Green means the result is approved and shown on the website. ![]() A result consists of a metric value, model name, dataset name and task name. What are the colored boxes on the right hand side? These show results extracted from the paper and linked to tables on the left hand side. ![]() It shows extracted results on the right hand side that match the taxonomy on Papers With Code. What is this page? This page shows tables extracted from arXiv papers on the left-hand side. As highlights, Perceiver IO outperforms a Transformer-based BERT baseline on the GLUE language benchmark despite removing input tokenization and achieves state-of-the-art performance on Sintel optical flow estimation with no explicit mechanisms for multiscale correspondence. The same architecture achieves strong results on tasks spanning natural language and visual understanding, multi-task and multi-modal reasoning, and StarCraft II. Our model augments the Perceiver with a flexible querying mechanism that enables outputs of various sizes and semantics, doing away with the need for task-specific architecture engineering. In this work, we propose Perceiver IO, a general-purpose architecture that handles data from arbitrary settings while scaling linearly with the size of inputs and outputs. Current architectures, however, cannot be applied beyond a small set of stereotyped settings, as they bake in domain & task assumptions or scale poorly to large inputs or outputs. Perceiver IO: A General Architecture for Structured Inputs & OutputsĪ central goal of machine learning is the development of systems that can solve many problems in as many data domains as possible. works for PlacementGrid and PathingGrid var placementGridImage = new Bitmap (gameInfo. So, here is how StartCraft should be started: Most of implementations are managing this aspect, there a different modes of how StartCraft may be started but at very minimum it requires to pass few flags to expose apiĪlso there is an important note of from where (working directory) StarCraft is launched, otherwise you will get Required library 'icuuc52.dll' does not exist In followup examples I'm saving some notes of raw usage (without any fancy stuff, libraries, wrappers, etc) for it to become really clear how to get up and running Starting StarCraft Under the cover StarCraft exposes protobut api which is documented here So my curiosity land me into trying to figure out how to utilize raw api in a first place with something strongly typed I did managed to beat medium computer by terran marine maraudeur three barracks push with help op python-sc2īut as usual whenever it comes to a pythong it is like a seven rounds of hell with its duck typing Personaly for me this one was a starting point into subject If you google something like "starcrfat 2 api bot" you definitelly will found some cool tutorials of how to create own bot
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