Alternatives and similar repositories for sklearn-onnx

Users that are interested in sklearn-onnx are comparing it to the libraries listed below

• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,086Updated this week
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆338Updated 7 months ago
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆390Updated this week
• rapidsai / jupyterlab-nvdashboard
  A JupyterLab extension for displaying dashboards of GPU usage.
  ☆645Updated this week
• dmlc / treelite
  Universal model exchange and serialization format for decision tree forests
  ☆774Updated this week
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆270Updated 6 months ago
• onnx / onnx-docker
  Dockerfiles and scripts for ONNX container images
  ☆137Updated 2 years ago
• onnx / onnx-tensorflow
  Tensorflow Backend for ONNX
  ☆1,305Updated last year
• dask / dask-ml
  Scalable Machine Learning with Dask
  ☆938Updated 3 weeks ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆361Updated 3 months ago
• rapidsai / notebooks
  RAPIDS Sample Notebooks
  ☆579Updated last year
• onnx / optimizer
  ONNX Optimizer
  ☆715Updated this week
• tensorflow / data-validation
  Library for exploring and validating machine learning data
  ☆770Updated last week
• tensorflow / io
  Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
  ☆726Updated this week
• tensorflow / decision-forests
  A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
  ☆680Updated 2 weeks ago
• Neuraxio / Neuraxle
  The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…
  ☆612Updated last month
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆356Updated this week
• google / ml-metadata
  For recording and retrieving metadata associated with ML developer and data scientist workflows.
  ☆648Updated 2 months ago
• rapidsai / dask-cuda
  Utilities for Dask and CUDA interactions
  ☆306Updated this week
• operatorai / modelstore
  🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…
  ☆389Updated 4 months ago
• SeldonIO / tempo
  MLOps Python Library
  ☆119Updated 3 years ago
• NVIDIA-Merlin / NVTabular
  NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…
  ☆1,084Updated 9 months ago
• triton-inference-server / model_analyzer
  Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…
  ☆476Updated last month
• uxlfoundation / scikit-learn-intelex
  Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
  ☆1,290Updated this week
• ray-project / tune-sklearn
  A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
  ☆468Updated last year
• siboehm / lleaves
  Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
  ☆420Updated 3 weeks ago
• clearml / clearml-serving
  ClearML - Model-Serving Orchestration and Repository Solution
  ☆150Updated 4 months ago
• pytorch / torcharrow
  High performance model preprocessing library on PyTorch
  ☆650Updated last year
• openxla / xprof
  A profiling and performance analysis tool for machine learning
  ☆386Updated this week
• NVIDIA-Merlin / dataloader
  The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
  ☆418Updated last year