{"id":20771937,"url":"https://github.com/suous/cs231n","last_synced_at":"2025-06-30T01:35:44.176Z","repository":{"id":193706286,"uuid":"684970724","full_name":"suous/cs231n","owner":"suous","description":"CS231n: Deep Learning for Computer Vision, Stanford - Spring 2023","archived":false,"fork":false,"pushed_at":"2024-03-19T08:37:56.000Z","size":53204,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-03-20T08:52:15.010Z","etag":null,"topics":["computer-vision","cs231n","cs231n-assignment","cs231n-assignments"],"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/suous.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":"2023-08-30T08:27:40.000Z","updated_at":"2023-11-23T06:26:46.000Z","dependencies_parsed_at":"2024-01-15T07:19:22.489Z","dependency_job_id":null,"html_url":"https://github.com/suous/cs231n","commit_stats":{"total_commits":31,"total_committers":1,"mean_commits":31.0,"dds":0.0,"last_synced_commit":"1a57e60deeb2bc462c97de08ca50b67cd6c26937"},"previous_names":["suous/cs231n"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suous%2Fcs231n","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suous%2Fcs231n/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suous%2Fcs231n/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/suous%2Fcs231n/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/suous","download_url":"https://codeload.github.com/suous/cs231n/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225034867,"owners_count":17410590,"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":["computer-vision","cs231n","cs231n-assignment","cs231n-assignments"],"created_at":"2024-11-17T12:18:09.359Z","updated_at":"2024-11-17T12:18:09.798Z","avatar_url":"https://github.com/suous.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003ch1 align=\"center\"\u003e\u003ca href=\"http://cs231n.stanford.edu/schedule\"\u003eCS231n - Deep Learning for Computer Vision\u003c/a\u003e\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e\u003cb\u003eStanford - Spring 2023\u003c/b\u003e\u003c/p\u003e\n\n## Assignments\n\n- [Assignment 1: Deep Learning Basics](cs231n-deep-learning-for-computer-vision/2023/assignments/a1)\n  - [Code](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code)\n    - [Q1: k-Nearest Neighbor classifier](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/knn.ipynb)\n    - [Q2: Training a Support Vector Machine](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/svm.ipynb)\n    - [Q3: Implement a Softmax classifier](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/softmax.ipynb)\n    - [Q4: Two-Layer Neural Network](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/two_layer_net.ipynb)\n    - [Q5: Higher Level Representations: Image Features](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/code/features.ipynb)\n  - [Additional Notes](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes)\n    - [A1: Calculate Distances](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/001_calculate_distances.ipynb)\n    - [A2: Support Vector Machine](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/002_svm.ipynb)\n    - [A3: Softmax](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/003_softmax.ipynb)\n    - [A4: Neural Network](cs231n-deep-learning-for-computer-vision/2023/assignments/a1/additional-notes/004_nn.ipynb)\n- [Assignment 2: Perceiving and Understanding the Visual World](cs231n-deep-learning-for-computer-vision/2023/assignments/a2)\n  - [Code](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code)\n    - [Q1: Multi-Layer Fully Connected Neural Networks](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/FullyConnectedNets.ipynb)\n    - [Q2: Batch Normalization](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/BatchNormalization.ipynb)\n    - [Q3: Dropout](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/Dropout.ipynb)\n    - [Q4: Convolutional Neural Networks](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/ConvolutionalNetworks.ipynb)\n    - [Q5: PyTorch on CIFAR-10](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/code/PyTorch.ipynb)\n  - [Additional Notes](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes)\n    - [A1: Neural Network Basics](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/001_nn.ipynb)\n    - [A2: Gray Scale Convolution](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/002_gray_scale_convolution.ipynb)\n    - [A3: RGB Scale Convolution](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/003_rgb_scale_convolution.ipynb)\n    - [A4: Batch RGB Scale Convolution](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/004_batch_rgb_scale_convolution.ipynb)\n    - [A5: Batch RGB Scale Convolution with Padding and Pooling](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/005_batch_rgb_scale_convolution_with_padding_and_pooling.ipynb)\n    - [A6: Convolution Benchmarks](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/006_convolution_benchmarks.ipynb)\n    - [A7: Convolution Backward](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/007_convolution_backward.ipynb)\n    - [A8: Pooling Layer Details](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/008_pooling_layer_details.ipynb)\n    - [A9: Generate Patches](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/009_generate_patches.ipynb)\n    - [A10: MLP-Mixer](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/010_mlp_mixer.ipynb)\n    - [A11: MetaFormer](cs231n-deep-learning-for-computer-vision/2023/assignments/a2/additional-notes/011_meta_former.ipynb)\n- [Assignment3: Generative and Interactive Visual Intelligence](cs231n-deep-learning-for-computer-vision/2023/assignments/a3)\n  - [Code](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code)\n    - [Q1: Network Visualization: Saliency Maps, Class Visualization, and Fooling Images](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Network_Visualization.ipynb)\n    - [Q2: Image Captioning with Vanilla RNNs](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/RNN_Captioning.ipynb)\n    - [Q3: Image Captioning with Transformers](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Transformer_Captioning.ipynb)\n    - [Q4: Generative Adversarial Networks](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Generative_Adversarial_Networks.ipynb)\n    - [Q5: Self-Supervised Learning for Image Classification](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/Self_Supervised_Learning.ipynb)\n    - [Extra Credit: Image Captioning with LSTMs](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/code/LSTM_Captioning.ipynb)\n  - [Additional Notes](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes)\n    - [A1: Positional Encoding](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes/001_positional_encoding.ipynb)\n    - [A2: Attention](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes/002_attention.ipynb)\n    - [A3: SimCLR](cs231n-deep-learning-for-computer-vision/2023/assignments/a3/additional-notes/003_simclr.ipynb)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuous%2Fcs231n","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsuous%2Fcs231n","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuous%2Fcs231n/lists"}