477 Open source projects that are alternatives of or similar to Onnxmltools

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機器學習: Python

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custom human activity recognition modules by pose estimation and cascaded inference using sklearn API

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A fast, robust Python library to check for offensive language in strings.

Stanford Machine Learning course exercises implemented with scikit-learn

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PyTorch ,ONNX and TensorRT implementation of YOLOv4

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vendor independent deep learning library, compiler and inference framework microcomputers and micro-controllers

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

Wavelet scattering transforms in Python with GPU acceleration

ADAM - A Question Answering System. Inspired from IBM Watson

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Deep learning model converter for PaddlePaddle. (『飞桨』深度学习模型转换工具)

A unified framework for machine learning with time series

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[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Visual analysis and diagnostic tools to facilitate machine learning model selection.

sktime companion package for deep learning based on TensorFlow

Jupyter notebooks from the scikit-learn video series

Extra blocks for scikit-learn pipelines.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

pytorch to caffe by onnx

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Convert tf.keras/Keras models to ONNX

Flask API for training and predicting using scikit learn models

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

A scikit-learn compatible neural network library that wraps PyTorch

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Python package for Bayesian Machine Learning with scikit-learn API

Natural Intelligence is still a pretty good idea.

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Use AI to generate a optimized stock portfolio

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

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Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.