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diff2html

Pretty diff to html javascript library (diff2html)

draftdoc

Draft for future documentation

examples

examples

experimental-experiment

investigations

hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

keras-onnx

convert the Keras model to ONNX

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

machinelearning_dataframe

DataFrame for ML.net

machinelearning_xgboost

XGBoost Wrapper for Microsoft.ML - https://github.com/dotnet/machinelearning

machinelearningext

additional transforms or trainers to project machine learning

mlinsights

Extends scikit-learn with new models, transformers, metrics, plotting.

mlprodict

Productionize machine learning predictions, with ONNX or without

models

A collection of pre-trained, state-of-the-art models in the ONNX format

nimbusml

A Python package (pip-installable) with the functionality of ML.NET but with APIs that are similar to Scikit-Learn and components that integrate into Scikit-Learn pipelines.

olive

Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.

onnx

Open standard for machine learning interoperability

onnx-extended

New operators for the ReferenceEvaluator

onnxconverter-common

Common utilities for ONNX converters

onnxcustom

Tutorial on how to convert machine learned models into ONNX

onnxmltools

ONNXMLTools enables conversion of models to ONNX

onnxrt-backend-dev

Tools to help developping onnx functionalities in torch

onnxruntime

ONNX Runtime: cross-platform, high performance scoring engine for ML models

onnxruntime-extensions

The shared custom operator library for ONNXRuntime

onnxruntime-inference-examples

Examples for using ONNX Runtime for machine learning inferencing.

onnxscript

ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.

presentation

protobuf

Protocol Buffers - Google's data interchange format

pyquickhelper

Automation to publish materials for teaching, notebook rendering, sphinx extensions, Jenkins helpers...

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration