{"id":15132659,"url":"https://github.com/anuuragg/numpyneuralnet","last_synced_at":"2026-01-18T00:23:52.888Z","repository":{"id":257224808,"uuid":"857664607","full_name":"anuuragg/NumpyNeuralNet","owner":"anuuragg","description":null,"archived":false,"fork":false,"pushed_at":"2024-09-15T09:46:53.000Z","size":102,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-05T21:44:45.945Z","etag":null,"topics":["machine-learning","matplotlib","neural-network","numpy","pandas"],"latest_commit_sha":null,"homepage":"","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/anuuragg.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":"2024-09-15T09:18:08.000Z","updated_at":"2024-09-15T09:46:56.000Z","dependencies_parsed_at":"2024-09-15T12:20:53.505Z","dependency_job_id":null,"html_url":"https://github.com/anuuragg/NumpyNeuralNet","commit_stats":null,"previous_names":["anuuragg/numpyneuralnet"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anuuragg%2FNumpyNeuralNet","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anuuragg%2FNumpyNeuralNet/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anuuragg%2FNumpyNeuralNet/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anuuragg%2FNumpyNeuralNet/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/anuuragg","download_url":"https://codeload.github.com/anuuragg/NumpyNeuralNet/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247406068,"owners_count":20933802,"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","matplotlib","neural-network","numpy","pandas"],"created_at":"2024-09-26T04:22:09.637Z","updated_at":"2026-01-18T00:23:52.839Z","avatar_url":"https://github.com/anuuragg.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# NumpyNeuralNet\n\nThis repository contains code for a simple machine learning model that uses linear regression along with a sigmoid activation function. The model is trained on a randomly generated dataset and is designed to classify data points. The training process involves gradient descent to optimize weights and biases, with cross-entropy loss guiding the updates.\n\n## Getting Started\n\n### Prerequisites\n\nThis code requires the following Python libraries:\n\n* numpy\n* pandas\n\nYou can install them using pip:\n\n```bash\npip install numpy pandas matplotlib.pyplot\n```\nClone the repository:\n```bash\ngit clone https://github.com/anuuragg/NumpyNeuralNet.git\n```\nRun the script:\n```bash\npython main.py\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanuuragg%2Fnumpyneuralnet","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fanuuragg%2Fnumpyneuralnet","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fanuuragg%2Fnumpyneuralnet/lists"}