{"library":"hummingbird-ml","type":"library","category":null,"description":"Hummingbird is a Microsoft-maintained library that converts trained traditional ML models (scikit-learn, LightGBM, XGBoost, PyTorch, ONNX) into tensor computations (PyTorch, TorchScript, ONNX, TVM). It enables GPU acceleration and scaling for legacy models with minimal code changes. Current version 0.4.12, release cadence is irregular (~quarterly). Requires Python >=3.8.","language":"python","status":"active","version":"0.4.12","tags":["machine learning","model conversion","gpu","microsoft"],"last_verified":"Sun Jun 07","install":[{"cmd":"pip install hummingbird-ml","imports":["from hummingbird.ml import convert","from hummingbird.ml import Hummingbird"]},{"cmd":"pip install hummingbird-ml[extra]","imports":[]}],"homepage":"https://github.com/microsoft/hummingbird","github":"https://github.com/microsoft/hummingbird","docs":null,"changelog":null,"pypi":null,"npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}