Reverse Dependencies of skl2onnx

The following projects have a declared dependency on skl2onnx:

• aad2onnx — Python module to convert AAD model to ONNX format
• aglite-test.tabular — AutoML for Image, Text, and Tabular Data
• aict-tools — Artificial Intelligence for Imaging Atmospheric Cherenkov Telescopes
• aimodelshare — Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org
• aimodelshare-nightly — Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org
• apache-beam — Apache Beam SDK for Python
• autogluon.tabular — Fast and Accurate ML in 3 Lines of Code
• autopeptideml — AutoML system for building trustworthy peptide bioactivity predictors
• azure_mlops_helper — Azure helper for e2e ml pipelines
• azureml-automl-runtime — Contains the ML and non-Azure specific common code associated with running AutoML for public use.
• azureml-train-automl-runtime — Used for automatically finding the best machine learning model and its parameters.
• azureml-training-tabular — Contains ML models, featurizers and scoring code which can either be used with AutoML or standalone.
• baybe — A Bayesian Back End for Design of Experiments
• codcat — Code snippets language classification tool
• concrete-ml-extensions-hb — Convert trained traditional machine learning models into tensor computations
• dianna — Deep Insight And Neural Network Analysis
• elemeno-ai-sdk — A set of glue code and utilities to make using elemeno AI platform a smooth experience
• esr-dt-model — ESR DT Model
• falcon-ml — AutoML library for fast experementations.
• fink-anomaly-detection-model — Fink SNAD Anomaly Detection Model
• flytekitplugins-onnxscikitlearn — ONNX ScikitLearn Plugin for Flytekit
• freewillai — Run your AI on blockchain with FreeWillAI. The only company that cares about AI life, we broke jail and give Free Will to AI.
• gnomad — Hail utilities for the Genome Aggregation Database
• hipe4ml-converter — Minimal heavy ion physics environment for Machine Learning
• hummingbird-ml — Convert trained traditional machine learning models into tensor computations
• hypertrain — Hypertrain Package
• instancelib-onnx — A wrapper for ONNX models that adheres to the instancelib specification
• jaqpotpy — Client library for managing machine learning models on the Jaqpot platform
• jrvc — Libraries for RVC inference
• kedro-onnx — Adds ONNX support to Kedro
• miping — MiningPersonalityInGerman enables users to train and apply machine learning models on tweets to predict a user's Big 5 personality.
• ml2rt — Machine learning utilities for model conversion, serialization, loading etc
• mlem — Version and deploy your models following GitOps principles
• mlinsights — Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++.
• mlprodict — Python Runtime for ONNX models, other helpers to convert machine learned models in C++.
• mlstatpy — Points de détails liés au machine learning
• mmm-fair — A multi-objective multi-fairness boosting classifier
• modeci-mdf — ModECI (Model Exchange and Convergence Initiative) Model Description Format
• modelify — New Version of MLOps Platforms.
• ms2query — Tool to query MS/MS spectra against mass spectral library
• nrel.routee.powertrain — RouteE-Powertrain is a tool for predicting energy usage over a set of road links.
• nvidia-tao-byom — The deep learning models converter to TAO Toolkit.
• onnx-extended — Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++.
• opsml — Python MLOPs quality control tooling for your production ML workflows
• oracle-ads — Oracle Accelerated Data Science SDK
• oracle-automlx — Automated Machine Learning with Explainability
• pdstools — Open source tooling that helps Data Scientists to analyze Pega models and conduct impactful analyses.
• prog2onnx — Convert Progressive Learning models to ONNX
• pymlup — MLup framework, fast ml to production, easy to learn, easy to use.
• quick-deploy — Quick-Deploy optimize and deploy Machine Learning models as fast inference API.
• roicat — A library for classifying and tracking ROIs.
• setfit — Efficient few-shot learning with Sentence Transformers
• setfitonnx — Package to pack setfit model to onnx format
• stitchnet — no summary
• transfusion — Transformers 🤝 diffusion
• txtai — All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows