{"id":14959048,"url":"https://github.com/aw-junaid/neural-network-and-machine-learning","last_synced_at":"2026-01-19T06:33:39.938Z","repository":{"id":200470726,"uuid":"705570713","full_name":"aw-junaid/Neural-Network-and-Machine-Learning","owner":"aw-junaid","description":"python programming for machine learning and deep learning","archived":false,"fork":false,"pushed_at":"2023-11-11T00:53:46.000Z","size":120,"stargazers_count":2,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-10-11T08:43:57.187Z","etag":null,"topics":["algorithms","artificial-intelligence","deep-learning","machine-learning","machine-learning-algorithms","neural-network","neuron-simulator","pandas","pandas-library","python","tensorflow","tensorflow-examples"],"latest_commit_sha":null,"homepage":"https://awjunaid.com/","language":"Jupyter Notebook","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/aw-junaid.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}},"created_at":"2023-10-16T09:18:36.000Z","updated_at":"2023-11-17T21:16:10.000Z","dependencies_parsed_at":null,"dependency_job_id":"1843b54d-c332-4244-ad92-a76d30296960","html_url":"https://github.com/aw-junaid/Neural-Network-and-Machine-Learning","commit_stats":{"total_commits":65,"total_committers":1,"mean_commits":65.0,"dds":0.0,"last_synced_commit":"8fa274ede1f85128a540352a6572574f09c11690"},"previous_names":["aw-junaid/neural-network-and-machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aw-junaid%2FNeural-Network-and-Machine-Learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aw-junaid%2FNeural-Network-and-Machine-Learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aw-junaid%2FNeural-Network-and-Machine-Learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aw-junaid%2FNeural-Network-and-Machine-Learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aw-junaid","download_url":"https://codeload.github.com/aw-junaid/Neural-Network-and-Machine-Learning/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":222814446,"owners_count":17041578,"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":["algorithms","artificial-intelligence","deep-learning","machine-learning","machine-learning-algorithms","neural-network","neuron-simulator","pandas","pandas-library","python","tensorflow","tensorflow-examples"],"created_at":"2024-09-24T13:18:45.824Z","updated_at":"2024-11-03T07:01:34.028Z","avatar_url":"https://github.com/aw-junaid.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n![Logo](https://www.ibm.com/content/dam/connectedassets-adobe-cms/worldwide-content/cdp/cf/ul/g/3a/b8/ICLH_Diagram_Batch_01_03-DeepNeuralNetwork.png)\n\n\n# Neural-Network-and-Machine-Learning\n\n\nThis repository contains implementations and examples of various neural network architectures and machine learning algorithms. From fundamental feedforward networks to advanced convolutional and recurrent models, this collection serves as a practical resource for understanding and applying machine learning concepts.\n\n## Authors:\n\n- [@aw-junaid](https://github.com/aw-junaid/)\n\n\n## Read Article About Neural Network:\n\n - [What is the role of mini-batch training in neural networks](https://awjunaid.com/artificial-intelligence/what-is-the-role-of-mini-batch-training-in-neural-networks)\n - [What is the difference between a supervised and unsupervised learning algorithm?](https://awjunaid.com/artificial-intelligence/what-is-the-difference-between-a-supervised-and-unsupervised-learning-algorithm/)\n - [What is the concept of a state-value function in reinforcement learning](https://awjunaid.com/artificial-intelligence/what-is-the-concept-of-a-state-value-function-in-reinforcement-learning/)\n  - [What is the purpose of the Kullback-Leibler (KL) divergence loss function](https://awjunaid.com/artificial-intelligence/what-is-the-purpose-of-the-kullback-leibler-kl-divergence-loss-function/)\n   - [Explain the concept of early stopping in neural network training](https://awjunaid.com/artificial-intelligence/explain-the-concept-of-early-stopping-in-neural-network-training/)\n- [What is the vanishing gradient problem in Neural Network](https://awjunaid.com/artificial-intelligence/what-is-the-vanishing-gradient-problem-in-neural-network/)\n\n\n\n## licenses\n\n\n[![MIT License](https://img.shields.io/badge/License-MIT-green.svg)](https://choosealicense.com/licenses/mit/)\n[![GPLv3 License](https://img.shields.io/badge/License-GPL%20v3-yellow.svg)](https://opensource.org/licenses/)\n[![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0)\n\n\n\n## Key Features:\n\n- \u003cb\u003eDiverse Implementations:\u003c/b\u003e Explore a wide range of neural network architectures, including feedforward, convolutional, and recurrent networks, along with popular machine learning algorithms.\n\n- \u003cb\u003eComprehensive Examples:\u003c/b\u003e Find detailed examples and use cases for each implemented model, demonstrating their application in various domains such as computer vision, natural language processing, and more.\n\n- \u003cb\u003eModular and Extensible:\u003c/b\u003e Each implementation is designed with modularity in mind, making it easy to adapt and extend for specific tasks or research projects.\n\n- \u003cb\u003eDetailed Documentation:\u003c/b\u003e Extensive documentation accompanies each implementation, providing insights into the architecture, hyperparameters, and recommended use cases.\n\n- \u003cb\u003ePerformance Benchmarks:\u003c/b\u003e Compare the performance of different models on benchmark datasets, enabling easy evaluation and selection of appropriate architectures for specific tasks.\n\n## Installation:\n\n### 1. Clone the Repository:\n\n```bash\ngit clone https://github.com/yourusername/Neural-Network-and-Machine-Learning.git\n\n```bash\n# Clone the Repository\ngit clone https://github.com/aw-junaid/Neural-Network-and-Machine-Learning.git\n\n# Install Dependencies\n\npip install -r requirements.txt\n```\n\n## Support:\n\nFor support, please open an \u003ca href=\" https://github.com/aw-junaid/Neural-Network-and-Machine-Learning/issues/1\"\u003eissue\u003c/a\u003e or reach out to \u003ca href=\"mailto:abdulwahabjunaid07@gmail.com\"\u003eabdulwahabjunaid07@gmail.com\u003c/a\u003e.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faw-junaid%2Fneural-network-and-machine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faw-junaid%2Fneural-network-and-machine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faw-junaid%2Fneural-network-and-machine-learning/lists"}