477 Open source projects that are alternatives of or similar to Sklearn Onnx

Samples and Tools for Windows ML.

ONNXMLTools enables conversion of models to ONNX

关注AI模型上线、模型部署

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Open standard for machine learning interoperability

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

Machine Learning Tutorials in Python

A library for machine learning research on motion capture data

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

php wrapper for opencv

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

scikit-learn compatible implementation of stability selection.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

ncnn is a high-performance neural network inference framework optimized for the mobile platform

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Python for chemoinformatics

An intuitive library to add plotting functionality to scikit-learn objects.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Pure C# machine learning framework

Fast and memory-efficient clustering

Kaldi model converter to ONNX

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

📚 Various cheatsheets in PDF

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Machine Learning inference engine for Microcontrollers and Embedded devices

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Library for Semi-Automated Data Science

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

a sklearn wrapper for Google's BERT model

Interactive SVM Explorer, using Dash and scikit-learn

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn

Scikit-learn compatible estimation of general graphical models

The "Python Machine Learning (1st edition)" book code repository and info resource

Visualizer for neural network, deep learning, and machine learning models

Predicting Forex Future Price with Machine Learning

Sequential model-based optimization with a `scipy.optimize` interface

Python Cheat Sheet NumPy, Matplotlib

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

IPython widgets, interactive plots, interactive machine learning

The "Python Machine Learning (3rd edition)" book code repository

✋ Recognizing "Hand Gestures" using OpenCV and Python.

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Machine Learning for High Energy Physics.

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Machine learning with scikit-learn tutorial at PyData Chicago 2016

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

PaddlePaddle to ONNX model converter

Stacked Generalization (Ensemble Learning)

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

A tutorial about how to build a TensorRT Engine from a PyTorch Model with the help of ONNX

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms