[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-85149":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":16,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":17,"rankGlobal":10,"rankLanguage":10,"license":18,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":19,"hasPages":21,"topics":22,"createdAt":10,"pushedAt":10,"updatedAt":23,"readmeContent":24,"aiSummary":10,"trendingCount":16,"starSnapshotCount":16,"syncStatus":15,"lastSyncTime":25,"discoverSource":26},85149,"coreai-optimization","apple\u002Fcoreai-optimization","apple","A library for PyTorch model compression and optimizations for deployment via Core AI on Apple silicon.","https:\u002F\u002Fapple.github.io\u002Fcoreai-optimization\u002F",null,"Python",56,5,3,2,0,38.33,"BSD 3-Clause \"New\" or \"Revised\" License",false,"main",true,[],"2026-06-15 10:04:52","# Core AI Optimization\n\n`coreai-opt` provides implementations of popular model optimizations such as quantization, palettization (codebook-based compression), and pruning, for PyTorch models, customized for deployment on Apple Silicon via Core AI.\n\nJump to: [Getting Started](#getting-started) · [Documentation](#documentation) · [Contributing](#contributing) · [Support](#support) · [License](#license) · [Related projects](#related-projects)\n\n## Getting started\n\n### Installation\n\nInstall the latest release from PyPI:\n\n```bash\npip install coreai-opt\n```\n\nOr with [uv](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002F):\n\n```bash\nuv pip install coreai-opt\n```\n\n#### From source\n\nThis project uses [uv](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002F) for environment management. Install `uv` by following the [official installation guide](https:\u002F\u002Fdocs.astral.sh\u002Fuv\u002Fgetting-started\u002Finstallation\u002F#standalone-installer).\n\nTo set up the environment from a checkout:\n\n```bash\nmake env\n```\n\nThis creates a project-specific virtual environment `.venv` and installs all dependencies. Activate it in a new terminal session with:\n\n```bash\nsource .venv\u002Fbin\u002Factivate\n```\n\n### Usage\n\n```python\nimport torch\nfrom coreai_opt.quantization import Quantizer, QuantizerConfig\nfrom torch import nn\n\n# A simple model and example input.\nmodel = nn.Sequential(nn.Linear(128, 64), nn.ReLU(), nn.Linear(64, 10)).eval()\nexample_inputs = (torch.randn(1, 128),)\n\n# Apply INT8 weight-only quantization using a built-in preset.\nconfig = QuantizerConfig.presets.w8()\nquantizer = Quantizer(model, config)\nprepared_model = quantizer.prepare(example_inputs)\n\n# Finalize for Core AI export.\nfinalized_model = quantizer.finalize()\n```\n\n## Documentation\n\nFor APIs, options, and detailed workflows, see the hosted documentation at [apple.github.io\u002Fcoreai-optimization](https:\u002F\u002Fapple.github.io\u002Fcoreai-optimization\u002F).\n\n## Contributing\n\nContributions are welcome within a defined scope. Please read [CONTRIBUTING.md](CONTRIBUTING.md) before opening a pull request or issue, particularly the section on contribution scope.\n\n## Support\n\n- [GitHub Issues](..\u002F..\u002Fissues) — Bug reports, feature requests, and questions\n\n## License\n\nThis project is licensed under the [BSD-3-Clause](LICENSE) license.\n\n## Related projects\n\n- [Core AI](https:\u002F\u002Fdeveloper.apple.com\u002Fdocumentation\u002Fcoreai) — Apple's on-device AI inference stack\n- [Core AI Torch](https:\u002F\u002Fgithub.com\u002Fapple\u002Fcoreai-torch) — converts PyTorch models to Core AI format; the upstream step before optimization\n- [Core AI Models](https:\u002F\u002Fgithub.com\u002Fapple\u002Fcoreai-models) — ready-to-run optimized models, Python reproduction scripts, and Swift utilities for on-device integration\n","2026-06-15 02:30:10","CREATED_QUERY"]