{"id":15066192,"url":"https://github.com/hitlic/torchility","last_synced_at":"2025-10-05T04:20:40.204Z","repository":{"id":62584972,"uuid":"367371272","full_name":"hitlic/torchility","owner":"hitlic","description":"A pytorch-lightning based tool for training pytorch model more simply","archived":false,"fork":false,"pushed_at":"2023-12-02T04:58:33.000Z","size":177,"stargazers_count":19,"open_issues_count":0,"forks_count":2,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-03-24T12:21:44.832Z","etag":null,"topics":["deep-learning","pytorch","pytorch-lightning-bolts"],"latest_commit_sha":null,"homepage":"","language":"Python","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/hitlic.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,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-05-14T13:29:20.000Z","updated_at":"2023-05-18T03:22:22.000Z","dependencies_parsed_at":"2023-01-29T01:30:30.404Z","dependency_job_id":"38fc9509-bda7-4dac-a87f-29b59e12414e","html_url":"https://github.com/hitlic/torchility","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/hitlic%2Ftorchility","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hitlic%2Ftorchility/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hitlic%2Ftorchility/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hitlic%2Ftorchility/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hitlic","download_url":"https://codeload.github.com/hitlic/torchility/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248226250,"owners_count":21068169,"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":["deep-learning","pytorch","pytorch-lightning-bolts"],"created_at":"2024-09-25T01:03:15.211Z","updated_at":"2025-10-05T04:20:40.097Z","avatar_url":"https://github.com/hitlic.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# torchility\n\nA Pytorch-lightning based tool for training pytorch deep learning model more simply.\n\n## Install\n\n- `pip install torchility`\n### Dependency\n- pytorch\u003e=2.0\n- pytorch-lightning\u003e=2.0,\u003c2.1\n- torchmetrics\u003e=0.11,\u003c0.12\n- matplotlib\u003e=3.3\n- pyyaml\u003e=5.4\n- tensorboardX\u003e=2.6\n\n## Usage\n\n### Example\n\n- MNIST\n\n```python\nfrom torchility import Trainer\nimport torch\nfrom torch import nn\nfrom torch.nn import functional as F\nfrom torchvision.datasets import MNIST\nfrom torchvision import transforms\nfrom torch.utils.data import DataLoader, random_split\nimport warnings\nwarnings.simplefilter(\"ignore\")  # ignore annoying warnings\n\n# datasets\ndata_dir = './datasets'\ntransform = transforms.Compose([transforms.ToTensor(), transforms.Normalize((0.1307,), (0.3081,))])\nmnist_full = MNIST(data_dir, train=True, transform=transform, download=True)\ntrain_ds, val_ds = random_split(mnist_full, [55000, 5000])\ntest_ds = MNIST(data_dir, train=False, transform=transform, download=True)\n\n# dataloaders\ntrain_dl = DataLoader(train_ds, batch_size=32)\nval_dl = DataLoader(val_ds, batch_size=32)\ntest_dl = DataLoader(test_ds, batch_size=32)\n\n# pytorch model\nchannels, width, height = (1, 28, 28)\nmodel = nn.Sequential(\n    nn.Flatten(),\n    nn.Linear(channels * width * height, 64),\n    nn.ReLU(),\n    nn.Dropout(0.1),\n    nn.Linear(64, 64),\n    nn.ReLU(),\n    nn.Dropout(0.1),\n    nn.Linear(64, 10)\n)\n\n# optimizer\nopt = torch.optim.Adam(model.parameters(), lr=2e-4)\n# trainer\ntrainer = Trainer(model, F.cross_entropy, opt, epochs=2)\n# train and validate\ntrainer.fit(train_dl, val_dl)\n# test\ntrainer.test(test_dl)\n```\n\n- See the `examples` for more examples \n\n### Data Flow\n\n\u003cimg src=\"imgs/data_flow.png\" width=\"60%\" alt=\"https://github.com/hitlic/torchility\"/\u003e\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhitlic%2Ftorchility","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhitlic%2Ftorchility","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhitlic%2Ftorchility/lists"}