{"id":28469771,"url":"https://github.com/answerdotai/minai","last_synced_at":"2026-02-26T21:36:12.043Z","repository":{"id":195171516,"uuid":"692539611","full_name":"AnswerDotAI/minai","owner":"AnswerDotAI","description":"A miniture AI training framework for PyTorch","archived":false,"fork":false,"pushed_at":"2025-02-01T03:30:38.000Z","size":1767,"stargazers_count":42,"open_issues_count":5,"forks_count":9,"subscribers_count":4,"default_branch":"main","last_synced_at":"2025-12-01T23:38:41.867Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/AnswerDotAI.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2023-09-16T19:44:32.000Z","updated_at":"2025-08-07T12:29:30.000Z","dependencies_parsed_at":"2024-12-12T19:03:03.700Z","dependency_job_id":"659ba031-df1d-4a6f-a8d7-29388213ca23","html_url":"https://github.com/AnswerDotAI/minai","commit_stats":null,"previous_names":["fastai/minai","answerdotai/minai"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/AnswerDotAI/minai","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnswerDotAI%2Fminai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnswerDotAI%2Fminai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnswerDotAI%2Fminai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnswerDotAI%2Fminai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/AnswerDotAI","download_url":"https://codeload.github.com/AnswerDotAI/minai/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AnswerDotAI%2Fminai/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29873316,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-26T21:05:00.265Z","status":"ssl_error","status_checked_at":"2026-02-26T20:57:13.669Z","response_time":89,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":[],"created_at":"2025-06-07T09:08:32.883Z","updated_at":"2026-02-26T21:36:12.035Z","avatar_url":"https://github.com/AnswerDotAI.png","language":"Jupyter Notebook","readme":"# minai\n\nThe mini version of fastai's miniai PyTorch framework created during the fastai course 2022-2023.\n\n## Installation\n\n```bash\npip install minai\n```\n\nor to install from source clone this repo and run:\n\n```bash\npip install -e .\n```\n\n## Usage\n\nThis is still a work in progress - I'll add example usage soon. But in general, for examples from the course where you have `from miniai.something import X` you should be able to do `from minai import X`. You can do `import minai as mi` or even `from minai import *` for quick access to all the functions and things, if you're so inclined. \n\nTutorial 1 has a minimal example of fitting a model using minai - open it in Google colab [here](https://colab.research.google.com/github/AnswerDotAI/minai/blob/main/tutorial_01.ipynb). \n\nTutorial 2 shows callbacks in action on a slightly more complex task - open it in Google colab [here](https://colab.research.google.com/github/AnswerDotAI/minai/blob/main/tutorial_02.ipynb). \n\n\nAn example of the library in action: [this notebook](https://colab.research.google.com/drive/1b3CeZB2FfRGr5NPYDVvk34hyZFBtgub5?usp=sharing) shows how to train a diffusion model on spectrograms to generate birdcalls, using minai. It is covered in the final lesson of Part 2 of the FastAI course.\n\nAnd a lovely demo of use in the wild is [this report by Thomas Capelle](https://wandb.ai/capecape/miniai_ddpm/reports/Next-Frame-Prediction-Using-Diffusion-The-fastai-Approach--VmlldzozMzcyMTYy) where he uses diffusion models to predict the next frame of an image sequence.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanswerdotai%2Fminai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanswerdotai%2Fminai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanswerdotai%2Fminai/lists"}