Yellowbrick is a suite of visual diagnostic tools called “Visualizers” that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow! For complete documentation on the Yellowbrick …
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Netron
Netron has experimental support for PyTorch, TensorFlow, TorchScript, OpenVINO, Torch, Vitis AI, Arm NN, BigDL, Chainer, CNTK, Deeplearning4j, MediaPipe, ML.NET and scikit-learn. Features Netron supports ONNX, TensorFlow Lite, Keras, Caffe, Darknet, ncnn, MNN, PaddlePaddle, Core ML, MXNet, RKNN, MindSpore Lite, TNN, Barracuda, Tengine, TensorFlow.js, Caffe2 and UFF. Official website Link Tutorial and documentation Click here …
Manifold
Manifold is an open-source publishing platform built by scholars and publishers. It’s responsive, accessible, intuitive, customizable, and opinionated. With Manifold, you can publish materials you already produce or use it to build something new together with your colleagues and students. Manifold is used widely by university presses to publish digital monographs and collected editions, by …
Evidently
Evidently helps evaluate and monitor machine learning models in production. It generates interactive reports or JSON profiles from pandas DataFramesor csv files. You can use visual reports for ad hoc analysis, debugging and team sharing, and JSON profiles to integrate Evidently in prediction pipelines or with other visualization tools.Evidently currently works with tabular data. 6 …