{"id":18724803,"url":"https://github.com/sar-gupta/convisualize_nb","last_synced_at":"2025-07-26T12:43:58.738Z","repository":{"id":100327153,"uuid":"114633770","full_name":"sar-gupta/convisualize_nb","owner":"sar-gupta","description":"Visualisations for Convolutional Neural Networks in Pytorch","archived":false,"fork":false,"pushed_at":"2018-01-02T11:36:05.000Z","size":15076,"stargazers_count":86,"open_issues_count":1,"forks_count":25,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-05T09:05:10.909Z","etag":null,"topics":["cnn","convolutional-neural-networks","deep-learning","neural-network","neural-networks","python","pytorch","visualization"],"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/sar-gupta.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2017-12-18T11:35:30.000Z","updated_at":"2024-11-10T12:30:51.000Z","dependencies_parsed_at":"2023-03-06T12:45:49.678Z","dependency_job_id":null,"html_url":"https://github.com/sar-gupta/convisualize_nb","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sar-gupta/convisualize_nb","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sar-gupta%2Fconvisualize_nb","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sar-gupta%2Fconvisualize_nb/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sar-gupta%2Fconvisualize_nb/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sar-gupta%2Fconvisualize_nb/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sar-gupta","download_url":"https://codeload.github.com/sar-gupta/convisualize_nb/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sar-gupta%2Fconvisualize_nb/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267168780,"owners_count":24046709,"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":"2025-07-26T02:00:08.937Z","response_time":62,"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":["cnn","convolutional-neural-networks","deep-learning","neural-network","neural-networks","python","pytorch","visualization"],"created_at":"2024-11-07T14:08:00.400Z","updated_at":"2025-07-26T12:43:58.727Z","avatar_url":"https://github.com/sar-gupta.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# convisualize\nVisualizations for Convolutional Neural Networks (CNNs) in Pytorch\n\nThe corresponding article can be found [here](https://medium.com/@thesemicolonguy/dl05-convolutional-neural-networks-1d3bb7fff586)!\n\n## Requirements:\n* Pytorch\n* Torchvision\n* Numpy\n* Matplotlib\n* Pillow\n\nNote: In case you don't have a GPU, remove all instances of \"cuda\" and \"cpu\" from the notebook before running.\n\n## TODO\n- [X] Layer Outputs at all layers\n- [X] Filter outputs at a given layer\n- [X] Filter visualization at a given layer\n- [X] Image heatmap using Occlusion\n- [ ] Image heatmap using Grad Cam\n- [X] Class specific saliency maps\n- [X] SmoothGrad\n- [ ] Semantic segmentation using GrabCut\n- [X] Visualization of class models (Gradient Ascent)\n- [ ] Regularization techniques for class models (L2, Clip, Blur, etc.)\n- [ ] Guided Backprop\n- [ ] Filter visualization (Gradient Ascent)\n- [ ] Neural Texture Synthesis\n- [ ] Deep Dream\n- [ ] Neural Style Transfer\n\n## References\n* [cs231n](http://cs231n.github.io/understanding-cnn/ \"Stanford's cs231n course\")\n* [cs231n Lecture 12](http://cs231n.stanford.edu/slides/2017/cs231n_2017_lecture12.pdf \"Visualizing and Understanding\")\n* [Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps](https://arxiv.org/abs/1312.6034) Karen Simonyan, Andrea Vedaldi, Andrew Zisserman\n* [Visualizing and Understanding Convolutional Networks](https://arxiv.org/abs/1311.2901) Matthew D Zeiler, Rob Fergus\n* [SmoothGrad: removing noise by adding noise](https://arxiv.org/abs/1706.03825) Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda Viégas, Martin Wattenberg\n* [Texture Synthesis Using Convolutional Neural Networks](https://arxiv.org/abs/1505.07376) Leon A. Gatys, Alexander S. Ecker, Matthias Bethge\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsar-gupta%2Fconvisualize_nb","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsar-gupta%2Fconvisualize_nb","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsar-gupta%2Fconvisualize_nb/lists"}