{"id":24026899,"url":"https://github.com/shan18/eva4","last_synced_at":"2025-07-11T11:35:40.517Z","repository":{"id":140051595,"uuid":"239463687","full_name":"shan18/EVA4","owner":"shan18","description":"Deep Learning Projects in TSAI - Extensive Vision AI 4","archived":false,"fork":false,"pushed_at":"2020-07-06T13:19:59.000Z","size":42534,"stargazers_count":3,"open_issues_count":0,"forks_count":7,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-06T03:41:26.414Z","etag":null,"topics":["cifar10","computer-vision","convolutional-neural-networks","deep-learning","eva4","jupyter-notebook","mnist","python3","pytorch","torchvision","tsai"],"latest_commit_sha":null,"homepage":"","language":"Python","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/shan18.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":"2020-02-10T08:37:42.000Z","updated_at":"2021-08-16T14:39:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"5b1c53d9-b88c-4196-b3d3-85212784d742","html_url":"https://github.com/shan18/EVA4","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/shan18/EVA4","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shan18%2FEVA4","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shan18%2FEVA4/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shan18%2FEVA4/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shan18%2FEVA4/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shan18","download_url":"https://codeload.github.com/shan18/EVA4/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shan18%2FEVA4/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264795838,"owners_count":23665241,"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":["cifar10","computer-vision","convolutional-neural-networks","deep-learning","eva4","jupyter-notebook","mnist","python3","pytorch","torchvision","tsai"],"created_at":"2025-01-08T16:51:04.565Z","updated_at":"2025-07-11T11:35:40.478Z","avatar_url":"https://github.com/shan18.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TSAI - Extensive Vision AI 4\n\nThis repository contains the solutions to the assignments of the **EVA4** course conducted by _The School of AI_.\n\n## Contents\n\n### Architectural Basics (MNIST Classification)\n\nReaching 99.4% accuracy on the MNIST test dataset with a model having less than 20,000 parameters and has been trained for less than 20 epochs.\nTo see the code go [here](04%20-%20Architectural%20Basics/).\n\n### Coding Drill Down\n\nReaching 99.4% accuracy on the MNIST test dataset with a model having less than 10,000 parameters and has been trained for less than 15 epochs.\nTo see the code go [here](05%20-%20Coding%20Drill%20Down/).\n\n### Regularization\n\nApplying L1 and L2 regularization on the final model trained in Session 5.\nTo see the code go [here](06%20-%20Regularization/).\n\n### Advanced Convolutions\n\nReaching a test accuracy of 80% on CIFAR-10 dataset using advanced convolutions.\nTo see the code go [here](07%20-%20Advanced%20Convolutions/).\n\n### Receptive Fields and Network Architecture\n\nReaching a test accuracy of 85% on CIFAR-10 dataset with ResNet18 model.\nTo see the code go [here](08%20-%20Receptive%20Fields%20and%20Network%20Architecture/).\n\n### Data Augmentation and Grad Cam\n\nReaching a test accuracy of 87% on CIFAR-10 dataset with ResNet18 model using Grad Cam and various data augmentation techniques.\nTo see the code go [here](09%20-%20Data%20Augmentation%20and%20Grad%20Cam/).\n\n### LR Finder and Reduce LR on Plateau\n\nReaching a test accuracy of 88% on CIFAR-10 dataset with ResNet18 model using LR Finder and Reduce LR on Plateau.\nTo see the code go [here](10%20-%20LR%20Finder%20and%20Reduce%20LR%20on%20Plateau/).\n\n### Super Convergence\n\nReaching a test accuracy of 90% on CIFAR-10 dataset custom ResNet model using One Cycle Policy for Learning Rate.\nTo see the code go [here](11%20-%20Super%20Convergence/).\n\n### Tiny-ImageNet and YOLO v2 Anchor Boxes\n\nReaching a test accuracy of 50% on Tiny-ImageNet dataset with ResNet18 model and finding the anchor boxes for YOLO v2 using K-Means Clustering algorithm.\nTo see the code go [here](12%20-%20Tiny-ImageNet%20and%20YOLO%20v2%20Anchor%20Boxes/).\n\n### Object Detection with YOLO v3\n\nUsing transfer learning to detect a custom object using YOLO v3.\nTo see the code go [here](13%20-%20Object%20Detection%20with%20YOLO%20v3/).\n\n### Segmentation and Depth Estimation Dataset Creation\n\nCreating a dataset with 400,000 images for image segmentation and depth estimation.\nTo see the code go [here](14%20-%20Segmentation%20and%20Depth%20Estimation%20Dataset%20Creation/).\n\n### Image Segmentation and Depth Estimation\n\nCreating a model which can perform image segmentation and depth estimation on a custom dataset.\nTo see the code go [here](15%20-%20Image%20Segmentation%20and%20Depth%20Estimation/).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshan18%2Feva4","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshan18%2Feva4","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshan18%2Feva4/lists"}