{"id":24523601,"url":"https://github.com/glgl0x00/handwritten-digits-classifier-with_pytorch","last_synced_at":"2025-06-11T12:33:55.663Z","repository":{"id":271166387,"uuid":"912581603","full_name":"GLGL0x00/Handwritten-Digits-Classifier-with_PyTorch","owner":"GLGL0x00","description":null,"archived":false,"fork":false,"pushed_at":"2025-01-06T00:49:42.000Z","size":319,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-15T14:12:37.124Z","etag":null,"topics":["cnn-classification","convolutional-neural-networks","matplotlib","mnist-dataset","numpy","python3","pytorch","torchvision"],"latest_commit_sha":null,"homepage":"","language":"HTML","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/GLGL0x00.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":"2025-01-06T00:47:33.000Z","updated_at":"2025-01-06T00:53:06.000Z","dependencies_parsed_at":"2025-01-06T01:31:24.946Z","dependency_job_id":"da33214c-b142-4e03-94d3-a795729b9507","html_url":"https://github.com/GLGL0x00/Handwritten-Digits-Classifier-with_PyTorch","commit_stats":null,"previous_names":["glgl0x00/handwritten-digits-classifier-with_pytorch"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GLGL0x00%2FHandwritten-Digits-Classifier-with_PyTorch","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GLGL0x00%2FHandwritten-Digits-Classifier-with_PyTorch/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GLGL0x00%2FHandwritten-Digits-Classifier-with_PyTorch/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GLGL0x00%2FHandwritten-Digits-Classifier-with_PyTorch/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GLGL0x00","download_url":"https://codeload.github.com/GLGL0x00/Handwritten-Digits-Classifier-with_PyTorch/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GLGL0x00%2FHandwritten-Digits-Classifier-with_PyTorch/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259265095,"owners_count":22831078,"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":["cnn-classification","convolutional-neural-networks","matplotlib","mnist-dataset","numpy","python3","pytorch","torchvision"],"created_at":"2025-01-22T04:16:02.358Z","updated_at":"2025-06-11T12:33:55.607Z","avatar_url":"https://github.com/GLGL0x00.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MNIST Handwritten Digits Classifier\r\n\r\nThis project demonstrates a simple implementation of a Convolutional Neural Network (CNN) for classifying handwritten digits using the MNIST dataset. The notebook walks through data loading, preprocessing, model building, training, and evaluation using PyTorch.\r\n\r\n## Dataset\r\n\r\nThe MNIST dataset contains 70,000 grayscale images of handwritten digits (0-9), each of size 28x28 pixels. It is a benchmark dataset in the field of machine learning.\r\n\r\n## Key Features\r\n\r\n- **Data Preprocessing**: The dataset is normalized and transformed using PyTorch's `torchvision.transforms`.\r\n- **Model Architecture**: A simple CNN model is built using PyTorch's `torch.nn` module.\r\n- **Training**: The model is trained using the `Adam` optimizer and `cross-entropy` loss.\r\n- **Evaluation**: The model's performance is evaluated on the test set, and metrics like accuracy are reported.\r\n\r\n## Installation\r\n\r\nTo run this notebook, you need Python 3.x and the following libraries:\r\n\r\n- PyTorch\r\n- torchvision\r\n- NumPy\r\n- Matplotlib\r\n\r\nInstall the required libraries using pip:\r\n\r\n```bash\r\npip install -r requirements.txt\r\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglgl0x00%2Fhandwritten-digits-classifier-with_pytorch","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fglgl0x00%2Fhandwritten-digits-classifier-with_pytorch","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglgl0x00%2Fhandwritten-digits-classifier-with_pytorch/lists"}