{"id":23377518,"url":"https://github.com/pilotleoyan/inside-deep-learning","last_synced_at":"2025-08-08T05:12:13.528Z","repository":{"id":276393693,"uuid":"920878767","full_name":"PilotLeoYan/inside-deep-learning","owner":"PilotLeoYan","description":"Inside deep learning, a repository to explain and apply deep learning concepts.","archived":false,"fork":false,"pushed_at":"2025-07-28T20:17:15.000Z","size":6343,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-28T22:19:43.436Z","etag":null,"topics":["ai","deep-learning","jupyter-notebook","learning","machine-learning","mathematics","neuronal-network","perceptron","python3","pytorch"],"latest_commit_sha":null,"homepage":"","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/PilotLeoYan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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,"zenodo":null}},"created_at":"2025-01-22T23:34:42.000Z","updated_at":"2025-07-28T20:17:19.000Z","dependencies_parsed_at":"2025-02-08T00:26:23.208Z","dependency_job_id":"0b5bc797-bb05-49cc-a8c6-a1be231f2b80","html_url":"https://github.com/PilotLeoYan/inside-deep-learning","commit_stats":null,"previous_names":["pilotleoyan/inside-deep-learning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PilotLeoYan/inside-deep-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PilotLeoYan%2Finside-deep-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PilotLeoYan%2Finside-deep-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PilotLeoYan%2Finside-deep-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PilotLeoYan%2Finside-deep-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PilotLeoYan","download_url":"https://codeload.github.com/PilotLeoYan/inside-deep-learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PilotLeoYan%2Finside-deep-learning/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":269366853,"owners_count":24405250,"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","status":"online","status_checked_at":"2025-08-08T02:00:09.200Z","response_time":72,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["ai","deep-learning","jupyter-notebook","learning","machine-learning","mathematics","neuronal-network","perceptron","python3","pytorch"],"created_at":"2024-12-21T18:14:56.976Z","updated_at":"2025-08-08T05:12:13.517Z","avatar_url":"https://github.com/PilotLeoYan.png","language":"Jupyter Notebook","readme":"![Python Version](https://img.shields.io/badge/python-3.13.5-blue)\n![PyTorch Version](https://img.shields.io/badge/pytorch-2.7.1-blue)\n![Jupyter Notebook](https://img.shields.io/badge/Jupyter-Notebook-blue) \u003cbr\u003e\n![Latest commit](https://img.shields.io/github/last-commit/PilotLeoYan/inside-deep-learning)\n![Number of issues](https://img.shields.io/github/issues/PilotLeoYan/inside-deep-learning?color=green)\n![Number of PRs](https://img.shields.io/github/issues-pr/PilotLeoYan/inside-deep-learning?color=green)\n![License](https://img.shields.io/badge/License-MIT-yellow)\n\n\u003cp align=\"center\"\u003e\n\u003cpicture\u003e\n   \u003csource media=\"(prefers-color-scheme: dark)\" srcset=\"images/inside-deep-learning-logo.png\" width=\"500\"\u003e\n   \u003cimg alt=\"Inside Deep learning logo\" src=\"images/inside-deep-learning-logo.png\" width=\"500\"\u003e\n\u003c/picture\u003e\n\u003c/p\u003e\n\nThis repository is a collection of Jupyer notebooks aimed at exploring the vast field of machine learning. Sometimes it is difficult to find implementations of important concepts or ideas, so here we try to implement and explain those ideas using Markdown and Pytorch. \n\nThis repository is not intended for beginners or LMs lovers. Rather, it is a compilation of notes on all possible ML topics, especially DL 🧠.\n\n\u003e [!NOTE]\n\u003e Some formulas in $\\LaTeX$ may not render well on Github.\n\n\u003e [!TIP]\n\u003e All notebooks are supported for Colab and Jupyter NBViewer.\n\n## Table of Contents\n\n1. [Linear regression 📈](1-linear-regression)\n    1. 🤖 [Simple linear regression](1-linear-regression/1-1-simple-linear-regression.ipynb)\n    2. 🤖 [Multivariate linear regression](1-linear-regression/1-2-multivariate-linear-regression.ipynb)\n    3. 🤖 [Weight decay (L2 regularization)](1-linear-regression/1-3-weight-decay.ipynb)\n    + ➗ [Weight decay and Normal equation](1-linear-regression/weight-decay-and-normal-equation.ipynb)\n2. [Classification 📊](2-classification)\n    1. 🤖 [Multiclass classfication](2-classification/2-1-multiclass-classification.ipynb)\n    + ➗ [Softmax function and its derivative](2-classification/softmax-function-and-its-derivative.ipynb)\n3. [Multilayer Perceptron 🧠](3-multilayer-perceptron)\n    1. 🤖 [Multilayer perceptron (MLP)](3-multilayer-perceptron/3-1-mlp.ipynb)\n    + ➗ [Gradients and activation functions](3-multilayer-perceptron/gradients-and-activation-functions.ipynb)\n    + 🔵 [MLP for classification](3-multilayer-perceptron/mlp-for-classification.ipynb)\n    + 🔵 [MLP like PyTorch](3-multilayer-perceptron/mlp-like-pytorch.ipynb)\n  \n\u003e [!TIP]\n\u003e 🤖 Programming ML models.\n\u003e ➗ Focus on specific concepts, such as mathematics.\n\u003e 🔵 Minor variations on the main topics.\n\n## How to Use\n\n1. Clone the repository:\n   ```\n   git clone https://github.com/PilotLeoYan/inside-deep-learning.git\n   ```\n2.\n   A. Install dependencies with cuda:\n   ```\n   pip install -r requirements-cuda.txt\n   ```\n   B. Install dependencies without cuda:\n   ```\n   pip install -r requirements.txt\n   ```\n\n## Used Hardware\n\n* CPU: AMD A6-9500\n* GPU: Nvidia Geforce RTX 2070-SUPER (8GB VRAM)\n* RAM: 16GB DDR4\n\n## Contributing\n\nContributions are welcome! If you have suggestions, improvements, or new topics to add, feel free to open an issue. Please follow the [contributing guidelines](CONTRIBUTING.md).\nRemember that I am only one person working on this repository.\n\nIf you find this repo useful, please star (★) this repo or cite using the following bibtex entry:\n```\n@misc{pilotleoyan25idl,\n  title={Inside-Deep-learning},\n  author={Rivera, Leonardo Fabyan Ortega},\n  publisher = {GitHub},\n  journal = {GitHub repository},\n  howpublished={\\url{https://github.com/PilotLeoYan/inside-deep-learning}},\n  year={2025}\n}\n```\n\n## Star History\n\n[![Star History Chart](https://api.star-history.com/svg?repos=PilotLeoYan/inside-deep-learning\u0026type=Date)](https://www.star-history.com/#PilotLeoYan/inside-deep-learning\u0026Date)\n\n## Main Bibliography\n\n\u003ca id=\"1\"\u003e[1]\u003c/a\u003e \n**Goodfellow, I., Bengio, Y., \u0026 Courville, A.** (2016). *Deep Learning*. MIT Press. [URL](http://www.deeplearningbook.org).\n\n\u003ca id=\"2\"\u003e[2]\u003c/a\u003e \n**Zhang, A., Lipton, Z. C., Li, M., \u0026 Smola, A. J.** (2023). *Dive into Deep Learning*. Cambridge University Press. [URL](https://D2L.ai).\n\n\u003ca id=\"3\"\u003e[3]\u003c/a\u003e \n**Deisenroth, M. P., Faisal, A. A., \u0026 Ong, C. S.** (2020). *Mathematics for Machine Learning*. Cambridge University Press. [URL](https://mml-book.github.io/).\n\n---\n\nIf you would like to contact me you can send me an [email](mailto:leofabyano@gmail.com).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpilotleoyan%2Finside-deep-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpilotleoyan%2Finside-deep-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpilotleoyan%2Finside-deep-learning/lists"}