{"id":20852886,"url":"https://github.com/vbprojects/miniprojects","last_synced_at":"2026-05-07T01:02:47.880Z","repository":{"id":205547485,"uuid":"580551201","full_name":"vbprojects/miniprojects","owner":"vbprojects","description":"A collection of personal miniprojects","archived":false,"fork":false,"pushed_at":"2023-03-26T01:04:32.000Z","size":38404,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-06T01:29:52.365Z","etag":null,"topics":["julia","jupyter","python"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vbprojects.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2022-12-20T20:56:40.000Z","updated_at":"2022-12-20T22:27:11.000Z","dependencies_parsed_at":null,"dependency_job_id":"e5a83939-1a33-4178-a72c-0b507b7a6aec","html_url":"https://github.com/vbprojects/miniprojects","commit_stats":null,"previous_names":["vbprojects/miniprojects"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vbprojects/miniprojects","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vbprojects%2Fminiprojects","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vbprojects%2Fminiprojects/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vbprojects%2Fminiprojects/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vbprojects%2Fminiprojects/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vbprojects","download_url":"https://codeload.github.com/vbprojects/miniprojects/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vbprojects%2Fminiprojects/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32718323,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-07T00:29:05.620Z","status":"ssl_error","status_checked_at":"2026-05-07T00:28:57.074Z","response_time":117,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["julia","jupyter","python"],"created_at":"2024-11-18T03:19:11.556Z","updated_at":"2026-05-07T01:02:47.861Z","avatar_url":"https://github.com/vbprojects.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# miniprojects\nA collection of personal miniprojects, feel free to contribute.\n\n## adjusted sigmoid optimization\n\nHard to explain, might right an article about it. It's what I refer too as surrogate objective.\n\n### TODO\n\n- More experiments\n\n## Hyper Ellipsoid Classifier\n\nTrain ellipsoid classifier, I think it might make sense in latent space of a model. Also, good at finding clusters at least for moons data set.\n\n### TODO\n\n- Implement in higher dimensions\n- classifier can currently only make positive predictions, probably because I haven't made radius an optimizable parameter.\n- Try with different objective functions, ie. surrogate.\n\n## ForwardForward\n\nImplementation of Forward Forward algorithm described in https://www.cs.toronto.edu/~hinton/FFA13.pdf\n\n### TODO\n\n- ~~Figure out more accurate representation of algorithm, unsure if the program is actually implementing it despite promising preliminary results.~~\n\nImplemented, need negative images to go further\n\n## InterestingDistributions\n\nA collection of probability distributions that I've come across.\n\n### TODO\n\n- ~~Figure out distribution to use as prior for probabilistic convex/non-convex hull through Hidden Markov Model.~~\n\nDead end\n\n## Edge Detection\n\nCurrently, just a sobel edge detector\n\n### TODO\n\n- ~~Derive emission probabilities for a pixel being an edge given various filters.~~\n\nDead end, not interested enough\n\n## kaggles\n\nKaggle notebooks\n\n## kernelnetworks\n\nFeature engineering through repeated kernel method application. For example, applying rbf on a rbf kernel. Produces interesting regressors and classifiers.\n\n### TODO\n\n- Figure out how to more accurately select subset of points for classifier, currently using kmeans++ initialization\n- Figure out how to use more than 2 applications of rbf \n- Combat Runges Phenomon for extrapolation\n\n## minvocab\n\nLooking at classifiers that output binary labels. Each node corresponding to a 1 or 0 through a modification of the sigmoid function. \n\n### TODO\n\n- If assigned binary labels MNIST labels take up 4 bits. 4 bits can represent 16 different states. Is there a way to boost classifier performance through mapping labels to more than one binary label? How do you train a machine that does that?\n\n## misc articles\n\nTitle,\n\n## OLS_Article\n\nNotebooks concerning the derivation and optimization of Ordinary Least Squares problems.\n\n### TODO\n\n- ~~Get ready to put on medium or something.~~\nDONE\nFinished\n\n## repeated_inner_outer_products\n\nTitle\n\n### TODO\n\n- ~~Maybe some kind of generative art?~~\n\nNot enough there\n\n## RotLogRegr\n\nLogistic regression where boundary is determined through rotation.\n\n### TODO\n\n- How do you extrapolate this to higher dimensions?\n\n## SVM_ARTICLE\n\nArticle on SVMS\n\n### TODO\n\n- ~~Implement SVC from scratch~~\n- From scratch with Pegasos and not from scratch with JuMP, write content for article\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvbprojects%2Fminiprojects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvbprojects%2Fminiprojects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvbprojects%2Fminiprojects/lists"}