{"id":18400368,"url":"https://github.com/kmario23/pytorch-padawan","last_synced_at":"2025-04-07T06:33:25.220Z","repository":{"id":75661704,"uuid":"223496946","full_name":"kmario23/PyTorch-Padawan","owner":"kmario23","description":"Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing","archived":false,"fork":false,"pushed_at":"2021-02-07T22:52:52.000Z","size":466,"stargazers_count":5,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-22T14:07:49.074Z","etag":null,"topics":["data-analysis","data-science","data-visualization","deep-learning","deep-neural-networks","distributed-computing","gpu-computing","jupyter","machine-learning","ndarray","python","python3","pytorch","scientific-computing","scientific-visualization","tensor","tensor-processing","vectorization","vectorized-computation","visual-computing"],"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/kmario23.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":"2019-11-22T22:30:01.000Z","updated_at":"2024-05-22T07:06:46.000Z","dependencies_parsed_at":"2023-06-07T07:15:29.939Z","dependency_job_id":null,"html_url":"https://github.com/kmario23/PyTorch-Padawan","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmario23%2FPyTorch-Padawan","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmario23%2FPyTorch-Padawan/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmario23%2FPyTorch-Padawan/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmario23%2FPyTorch-Padawan/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kmario23","download_url":"https://codeload.github.com/kmario23/PyTorch-Padawan/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247607728,"owners_count":20965945,"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":["data-analysis","data-science","data-visualization","deep-learning","deep-neural-networks","distributed-computing","gpu-computing","jupyter","machine-learning","ndarray","python","python3","pytorch","scientific-computing","scientific-visualization","tensor","tensor-processing","vectorization","vectorized-computation","visual-computing"],"created_at":"2024-11-06T02:32:19.372Z","updated_at":"2025-04-07T06:33:25.184Z","avatar_url":"https://github.com/kmario23.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\n    \u003cimg src=\"./pixels/padawan-gimp.png\" width=\"720\" height=\"350\"\u003e\n\u003c/p\u003e\n\n\u003ch3\u003e\u003cp align=\"center\"\u003ePyTorch Padawan\u003c/p\u003e\u003c/h3\u003e\nThe grand goal of this repository is to offer an in-depth understanding of \u003cb\u003ePyTorch for Scientific Computing\u003c/b\u003e. In particular, we will focus mainly on solving problems while also explaining the steps involved which will then offer good intuitions and confidence for working with tensors of arbitrary shapes.\n\n--------\n\n\n\n| Topic                                                        | Description                                                  | nbviewer                                                     | colab                                                        | github                                                       |\n| ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |\n| [***einsum***](https://github.com/kmario23/PyTorch-Padawan/tree/master/einsum) | explanation and examples about processing tensors using `einsum` | \u003ca href=\"https://nbviewer.jupyter.org/github/kmario23/PyTorch-Padawan/blob/master/einsum/pytorch-einsum.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/jupyter-logo-orangebody-greayplanets.svg\" height=\"31\"\u003e\u003c/a\u003e | \u003ca href=\"https://colab.research.google.com/github/kmario23/PyTorch-Padawan/blob/master/einsum/pytorch-einsum.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/colab-favicon.ico\" height=\"31\"\u003e\u003c/a\u003e | \u003ca href=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/einsum/pytorch-einsum.ipynb\"\u003e \u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/github-octocat.svg\" height=\"28\"\u003e\u003c/a\u003e |\n| ***tensor manipulation***                                    | explanation and examples about general manipulations on the tensors | \u003ca href=\"https://nbviewer.jupyter.org/github/kmario23/PyTorch-Padawan/blob/master/processing-tensors.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/jupyter-logo-orangebody-greayplanets.svg\" height=\"31\"\u003e\u003c/a\u003e | \u003ca href=\"https://colab.research.google.com/github/kmario23/PyTorch-Padawan/blob/master/processing-tensors.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/colab-favicon.ico\" height=\"31\"\u003e\u003c/a\u003e | \u003ca href=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/processing-tensors.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/github-octocat.svg\" height=\"28\"\u003e\u003c/a\u003e |\n| ***vectorization***                                          | explanation and examples about how to write vectorized code in order to achieve memory \u0026 runtime efficiency | \u003ca href=\"https://nbviewer.jupyter.org/github/kmario23/PyTorch-Padawan/blob/master/vectorization.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/jupyter-logo-orangebody-greayplanets.svg\" height=\"31\"\u003e\u003c/a\u003e | \u003ca href=\"https://colab.research.google.com/github/kmario23/PyTorch-Padawan/blob/master/vectorization.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/colab-favicon.ico\" height=\"31\"\u003e\u003c/a\u003e | \u003ca href=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/vectorization.ipynb\"\u003e\u003cimg src=\"https://github.com/kmario23/PyTorch-Padawan/blob/master/pixels/github-octocat.svg\" height=\"28\"\u003e\u003c/a\u003e |\n| [***broadcasting***](https://github.com/kmario23/PyTorch-Padawan/tree/master/broadcasting) | explanation and examples for writing code without duplicating data to achieve memory \u0026 runtime efficiency | `in progress`                                                | `in progress`                                                | `in progress`                                                |\n| **multiple linear regression**                               | explanation and implementation of *multiple linear regression* with regularization \u0026 hyperparameter tuning | `in progress`                                                | `in progress`                                                | `in progress`                                                |\n| **linear algebra**                                           | barebones implementation of common linear algebra operations with intuitive explanations | `planned`                                                    | `planned`                                                    | `planned`                                                    |\n| **signal processing**                                        | implementation interspersed with explanations of fundamental principles for processing signals | `planned`                                                    | `planned`                                                    | `planned`                                                    |\n|                                                              |                                                              |                                                              |                                                              |                                                              |\n\n----------\n\n###### Acknowledgement\n\nSpecial thanks :pray: to my dear friend Kata Naszádi for introducing me the name and letting me to use it here.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmario23%2Fpytorch-padawan","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkmario23%2Fpytorch-padawan","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmario23%2Fpytorch-padawan/lists"}