{"id":19448546,"url":"https://github.com/neurodata/uncertainty-forest","last_synced_at":"2025-04-25T02:31:25.173Z","repository":{"id":92003914,"uuid":"224497526","full_name":"neurodata/uncertainty-forest","owner":"neurodata","description":"Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325","archived":false,"fork":false,"pushed_at":"2020-10-15T01:56:40.000Z","size":66555,"stargazers_count":12,"open_issues_count":1,"forks_count":5,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-04-03T15:04:53.638Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/neurodata.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-11-27T18:55:38.000Z","updated_at":"2022-07-29T11:45:13.000Z","dependencies_parsed_at":null,"dependency_job_id":"36edd50a-a2a4-4b87-b2b5-59ab13a10c60","html_url":"https://github.com/neurodata/uncertainty-forest","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Funcertainty-forest","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Funcertainty-forest/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Funcertainty-forest/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/neurodata%2Funcertainty-forest/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/neurodata","download_url":"https://codeload.github.com/neurodata/uncertainty-forest/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250741940,"owners_count":21479703,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":[],"created_at":"2024-11-10T16:27:28.690Z","updated_at":"2025-04-25T02:31:25.167Z","avatar_url":"https://github.com/neurodata.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Uncertainty Forest\n\nThis repo contains code and demos of estimation procedures for posterior distributions, conditional entropy, and mutual information between random variables `X` and `Y`.\n\n- [Overview](#overview)\n- [System Requirements](#system-requirements)\n\n# Overview\nTo reproduce any of the figures, navigate to the corresponding directory, and run the Jupyter notebook.\n```\ncd figs/fig1\njupyter nbconvert --to notebook --inplace --execute figure-1.ipynb --ExecutePreprocessor.timeout=-1\n```\nCommands are similar for Figures 2 and 3. The application and hypothesis test code can be found in the `figs/application` director. The above commands convert the notebook to a Python file and produces the figures as PDFs. An alternate option is to open to the notebook, and select \"Restart and Run All\".\n\n# System Requirements\n## Hardware requirements\nUF requires only a standard computer with enough RAM to support the in-memory operations.\n\n## Software requirements\n### OS Requirements\nThe code has been tested on the following systems:\n+ macOS: Mojave (10.14.1)\n+ Linux: Ubuntu 16.04\n\n### Python Dependencies\nThe code mainly depends on the Python scientific stack.\n\n```\nnumpy\nscipy\nscikit-learn\njoblib\nmatplotlib\nseaborn\ntqdm\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneurodata%2Funcertainty-forest","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fneurodata%2Funcertainty-forest","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fneurodata%2Funcertainty-forest/lists"}