{"id":18674976,"url":"https://github.com/jaanli/vimco_tf","last_synced_at":"2025-04-12T02:06:17.380Z","repository":{"id":72811260,"uuid":"72878733","full_name":"jaanli/vimco_tf","owner":"jaanli","description":"VIMCO in tensorflow.","archived":false,"fork":false,"pushed_at":"2016-12-02T21:28:48.000Z","size":32,"stargazers_count":5,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-12T02:06:11.016Z","etag":null,"topics":["machine-learning","mnist","tensorflow"],"latest_commit_sha":null,"homepage":null,"language":"Python","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/jaanli.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":"2016-11-04T19:26:12.000Z","updated_at":"2018-10-05T13:25:14.000Z","dependencies_parsed_at":"2023-02-26T17:16:17.288Z","dependency_job_id":null,"html_url":"https://github.com/jaanli/vimco_tf","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/jaanli%2Fvimco_tf","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaanli%2Fvimco_tf/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaanli%2Fvimco_tf/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaanli%2Fvimco_tf/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jaanli","download_url":"https://codeload.github.com/jaanli/vimco_tf/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248505862,"owners_count":21115354,"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":["machine-learning","mnist","tensorflow"],"created_at":"2024-11-07T09:21:30.902Z","updated_at":"2025-04-12T02:06:17.372Z","avatar_url":"https://github.com/jaanli.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# vimco_tf\nVariational Inference for Monte Carlo Objective (VIMCO) in tensorflow. The paper is here: https://arxiv.org/abs/1602.06725\n\nThis gets to a log-likelihood of `-94.3` nats on the validation set of the binarized MNIST data.\n\n## How to run\n\nImportant: needs to be run with a tensorflow version of [at least 0.11.0](https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#pip-installation).\n\n```\n# get the binarized MNIST dataset, save to /tmp/binarized_mnist.hdf5\npython make_binarized_mnist_hdf5_file.py\n\n# run sbn training with vimco. ideally on GPU (10x speedup)\npython sbn_vimco.py\n\n#  visualize logs\ntensorboard --logdir /tmp\n```\n\nSummaries and posterior predictives can be viewed on tensorboard:\n\n![tensorboard](http://i.imgur.com/h9L1ygN.png)\n\nThis is heavily based off of Joost's implementation at https://github.com/y0ast/VIMCO (thank you Joost!)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaanli%2Fvimco_tf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaanli%2Fvimco_tf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaanli%2Fvimco_tf/lists"}