{"library":"onnxslim","type":"library","category":null,"description":"OnnxSlim is an open-source toolkit developed by Microsoft for optimizing ONNX (Open Neural Network Exchange) models. It helps reduce model size and improve inference speed through various techniques like node elimination, constant folding, and shape inference. As of version 0.1.91, it is under active development with frequent updates, aiming to provide a robust solution for model deployment.","language":"python","status":"active","version":"0.1.91","tags":["onnx","model optimization","deep learning","neural networks","model compression"],"install":[{"cmd":"pip install onnxslim","imports":["from onnxslim import slim"]}],"homepage":null,"github":"https://github.com/inisis/OnnxSlim","docs":null,"changelog":null,"pypi":"https://pypi.org/project/onnxslim/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":11.8,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/onnxslim/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Sun Aug 02","install_tag":null}}