1368 Open source projects that are alternatives of or similar to Emlearn

All the slides, accompanying code and exercises all stored in this repo. 🎈

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

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

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

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

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

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

Deanonymizing Tor or VPN users with website fingerprinting and machine learning.

Lightweight printf library optimized for embedded systems

sktime companion package for deep learning based on TensorFlow

Predicting the winner of 2019 cricket world cup using random forest algorithm

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A curated list of data mining papers about fraud detection.

🍊 📊 💡 Orange: Interactive data analysis

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

A collection of research papers on decision, classification and regression trees with implementations.

⏱ Benchmarks of machine learning inference for Go

pigweed.dev

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Hardware-integrated system composed by a desktop app and a Node.js server able to control an Arduino and manipulate the temperature of grains within storage silos

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Run TensorFlow models in C++ without installation and without Bazel

No description or website provided.

Ferret is a free software lisp implementation for real time embedded control systems.

A higher-level Neural Network library for microcontrollers.

Acceleration package for neural networks on multi-core CPUs

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

High-efficiency floating-point neural network inference operators for mobile, server, and Web

A python library to build Model Trees with Linear Models at the leaves.

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

A curated list of gradient boosting research papers with implementations.

a delightful machine learning tool that allows you to train, test, and use models without writing code

Solution of the Titanic Kaggle competition

Real-Time C++ Companion Code

📚 💻 Great Resources for Electronics Enthusiasts

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

U8glib library for monochrome displays, version 2

Easy to use, lightweight and unified library for performing common microcontroller tasks

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

A compact Unscented Kalman Filter (UKF) library for Teensy4/Arduino system (or any real time embedded system in general)

A Unified Framework for Random Forest Prediction Error Estimation

A very lame UI library for embedded systems.

Embedded systems SDK for Uniswarm boards and others (dsPIC33, dsPIC30, PIC24 and PIC32 compatible)

📚 💻 Great Resources for Electronics Enthusiasts

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

A python library for decision tree visualization and model interpretation.

Machine Learning for High Energy Physics.

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

A collections of FREE ebooks

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Deep Learning for Julia

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

Predicting Forex Future Price with Machine Learning

Julia port of the Python autograd package.

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).