{"id":15899449,"url":"https://github.com/jjerphan/joml","last_synced_at":"2026-05-10T06:32:25.974Z","repository":{"id":113433379,"uuid":"146267816","full_name":"jjerphan/joml","owner":"jjerphan","description":"A minimalist numpy-baked Neural Network API","archived":false,"fork":false,"pushed_at":"2019-01-31T08:47:33.000Z","size":226,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-08T09:46:51.068Z","etag":null,"topics":["deep-learning","fun","minimalist","neural-network","neural-networks","numpy","python","wheel-implementing"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jjerphan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2018-08-27T08:16:41.000Z","updated_at":"2019-06-16T14:44:27.000Z","dependencies_parsed_at":null,"dependency_job_id":"e07cd313-3e06-4760-b6a9-09a62ed395f3","html_url":"https://github.com/jjerphan/joml","commit_stats":null,"previous_names":[],"tags_count":5,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjerphan%2Fjoml","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjerphan%2Fjoml/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjerphan%2Fjoml/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jjerphan%2Fjoml/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jjerphan","download_url":"https://codeload.github.com/jjerphan/joml/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246875846,"owners_count":20848049,"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":["deep-learning","fun","minimalist","neural-network","neural-networks","numpy","python","wheel-implementing"],"created_at":"2024-10-06T10:21:15.725Z","updated_at":"2026-05-10T06:32:25.940Z","avatar_url":"https://github.com/jjerphan.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"JOML: A minimalist `numpy`-baked Neural Network API 🦎 \n========================================================\n\n## Getting started\n\n*JOML* API is quite similar to *Keras* [`Sequential Model` API](https://keras.io/getting-started/sequential-model-guide/).\n\nIt is for now available on [TestPypi](http://test.pypi.org/).\nYou can install it using this:\n\n```bash\n$ pip install --index-url https://test.pypi.org/project/ joml\n```\n\n```python\nfrom joml.network import Network\nfrom joml.layer import Layer, SoftMaxCrossEntropyOutputLayer\nimport numpy as np\n\n# Loading/transforming data into np.ndarray\nx_train, y_train, x_test, y_test = my_loader()\n# Here those are arrays of respective shape :\n# (14, num_examples) for x_train and x_test\n# (4, num_examples) for y_train and y_test\n\n# Defining your network\nnetwork = Network(input_size=14, name=\"My really first network\")\n\nnetwork.stack(Layer(size=100))\nnetwork.stack(Layer(size=40))\n\nnetwork.output(SoftMaxCrossEntropyOutputLayer(size=4))\n\n# Training\nnetwork.train(x_train,y_train)\n\n# … wait (a bit) ⏳\n\n# Profit ! 🚀\ny_pred, y_hat, accuracy = network.test(x_test,y_test)\n```\n\nSee [`examples`](./examples) for some examples.\n\n## Features\n\nThe API is not definitive yet : *More to come soon !*\n\n## Why does JOML mean?\n\nJOML means \"*JOML One More Layer*\".\n\n## License\n\n[This project license](./LICENSE) is MIT.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjjerphan%2Fjoml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjjerphan%2Fjoml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjjerphan%2Fjoml/lists"}