{"id":1160,"date":"2026-07-30T23:41:34","date_gmt":"2026-07-31T06:41:34","guid":{"rendered":"http:\/\/fx-td.com\/houdiniandchill\/?p=1160"},"modified":"2026-07-30T23:46:19","modified_gmt":"2026-07-31T06:46:19","slug":"archived-post-by-zspc","status":"publish","type":"post","link":"http:\/\/fx-td.com\/houdiniandchill\/2026\/07\/30\/archived-post-by-zspc\/","title":{"rendered":"Archived post by zspc"},"content":{"rendered":"<div class=\"postie-post\">\n<p class=\"\">I just improved the docs for my Optimal Transport HDA (CPU default but GPU acceleration using CuPy if you have an NVIDIA card), thought I&#8217;d share the link since I haven&#8217;t posted it here before! <a href=\"https:\/\/github.com\/conlen-b\/cb-houdini-tools\/tree\/main\/sinkhorn-based-log-domain-optimal-transport\">github.com\/conlen-b\/cb-houdini-tools\/tree\/main\/sinkhorn-based-log-domain-optimal-transport<\/a><br \/>\nThe repo also has the raw python scripts that I heavily documented while creating it so feel free to poke around there to learn how sinkhorn based log domain optimal transport works (or to point out things I can improve!)<\/p>\n<p class=\"\">I originally made it for my implementation of @jake rice \ud83d\ude2e &#8216;s awesome Raya Druun paper, when I made it I didn&#8217;t realize that he had already posted an optimal transport implementation on [his github](<a href=\"https:\/\/github.com\/jakericedesigns\/Assorted-Houdini-Demos\/tree\/main\/OpenCL%20Optimal%20Transport\">github.com\/jakericedesigns\/Assorted-Houdini-Demos\/tree\/main\/OpenCL%20Optimal%20Transport<\/a>) so I reinvented the wheel a little bit \ud83d\ude05 but with CuPy it&#8217;s nice and fast (and can support double precision, by default I set it to float precision though) and above all helped me learn a lot!<\/p>\n<p>Attachments in this post: <br \/><a href=\"http:\/\/fx-td.com\/houdiniandchill\/wp-content\/uploads\/discord\/20264107\/30\/26\/OptimalTransportDemo_compressed.mp4\">http:\/\/fx-td.com\/houdiniandchill\/wp-content\/uploads\/discord\/20264107\/30\/26\/OptimalTransportDemo_compressed.mp4<\/a><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>I just improved the docs for my Optimal Transport HDA (CPU default but GPU acceleration using CuPy if you have an NVIDIA card), thought I&#8217;d share the link since I haven&#8217;t posted it here before! github.com\/conlen-b\/cb-houdini-tools\/tree\/main\/sinkhorn-based-log-domain-optimal-transport The repo also has the raw python scripts that I heavily documented while creating it so feel free to &hellip; <a href=\"http:\/\/fx-td.com\/houdiniandchill\/2026\/07\/30\/archived-post-by-zspc\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Archived post by zspc<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-1160","post","type-post","status-publish","format-standard","hentry","category-hou-general"],"_links":{"self":[{"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/posts\/1160","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/comments?post=1160"}],"version-history":[{"count":0,"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/posts\/1160\/revisions"}],"wp:attachment":[{"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/media?parent=1160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/categories?post=1160"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/fx-td.com\/houdiniandchill\/wp-json\/wp\/v2\/tags?post=1160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}