{"id":21692924,"url":"https://github.com/johnsmithm/htuneml","last_synced_at":"2026-04-18T06:02:44.765Z","repository":{"id":62569703,"uuid":"170714862","full_name":"johnsmithm/htuneml","owner":"johnsmithm","description":" machine learning experiments monitoring and hyperparameter tuning","archived":false,"fork":false,"pushed_at":"2019-02-14T17:00:50.000Z","size":3,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-26T14:42:42.150Z","etag":null,"topics":["experiment-machine-learning","experiment-monitor","hyperparameter-tuning"],"latest_commit_sha":null,"homepage":null,"language":null,"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/johnsmithm.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}},"created_at":"2019-02-14T15:38:36.000Z","updated_at":"2019-02-14T17:52:43.000Z","dependencies_parsed_at":"2022-11-03T16:15:14.210Z","dependency_job_id":null,"html_url":"https://github.com/johnsmithm/htuneml","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/johnsmithm%2Fhtuneml","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/johnsmithm%2Fhtuneml/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/johnsmithm%2Fhtuneml/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/johnsmithm%2Fhtuneml/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/johnsmithm","download_url":"https://codeload.github.com/johnsmithm/htuneml/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244623315,"owners_count":20483114,"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":["experiment-machine-learning","experiment-monitor","hyperparameter-tuning"],"created_at":"2024-11-25T18:17:50.260Z","updated_at":"2026-04-18T06:02:44.713Z","avatar_url":"https://github.com/johnsmithm.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# HTUNEML - machine learning experiments monitoring and tuning\n\n**Quickstart:** ``pip install htuneml``. See the \"Installing\" section for more details.\n\n\nProject links:\n\n-  `PyPI \u003chttps://pypi.python.org/pypi/htuneml/\u003e`__\n-  `Source code \u003chttps://github.com/johnsmithm/htuneml\u003e`__\n-  `Issue tracker \u003chttps://github.com/johnsmithm/htuneml/issues\u003e`__\n\n\nExamples\n--------\n\nSee the ``examples/`` `directory \u003chttps://github.com/htuneml/htuneml/tree/master/examples\u003e`__ in the repository root for usage examples:\n\n-  `Tensorflow Mnist \u003chttps://github.com/htuneml/htuneml/blob/master/examples/tensorflow-mnist.py\u003e`__\n-  `Keras Mnist \u003chttps://github.com/htuneml/htuneml/blob/master/examples/tensorflow-mnist.py\u003e`__\n-  `Pytorch Mnist \u003chttps://github.com/htuneml/htuneml/blob/master/examples/tensorflow-mnist.py\u003e`__\n\n\nRequirements\n------------\n\nTo use all of the functionality of the library, you should have:\n\n* **Python** 2.6, 2.7, or 3.3+ (required)\n* **PyAudio** 0.2.11+ (required only if you need to use microphone input, ``Microphone``)\n\n\nQuick start\n------------\n\nRegister on website http://registru.ml, copy the api_key:\n\n.. code:: python\n\n    import htuneml as ht\n    \n    job = Job('api_key')\n    \n    @job.monitor\n    def train(par1=2,par2=2):\n        for i in range(par1):\n            #do training here\n            job.log({'loss':i*4,'ep':i})\n\n    job.setName('l2')\n    #job.debug()# uncomment and no experiment will be created and no logs sent\n    train(10, 2)\n\nThis will print out something like the following:\n\n::\n\n    make experiment\n    got key experimnet 5c5c8eaacbcfb9146641367a\n\nAlso it is possible to sent the parameters from the web app. First on gpu/cpu set the lisener:\n\n.. code:: python\n\n    import htuneml as ht\n    \n    job = Job('api_key')\n    \n    def train(par1=2,par2=2):\n        for i in range(par1):\n            #do training here\n            job.log({'loss':i*4,'ep':i})\n\n    job.sentParams(train)#sent the parameters list to the app\n    job.waitTask(train)#wait for parameters from app\n    \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjohnsmithm%2Fhtuneml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjohnsmithm%2Fhtuneml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjohnsmithm%2Fhtuneml/lists"}