409 Open source projects that are alternatives of or similar to Rb Libsvm

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

人工智能 100 天

Implementation of the paper "No Reference Image Quality Assessment in the Spatial Domain" by A Mittal et al. in OpenCV (using both C++ and Python)

Basics of Musical Instruments Classification using Machine Learning

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

Репозиторий направления Production ML, весна 2021

经典机器学习算法的极简实现

This is the page for the book Digital Signal Processing with Kernel Methods.

Hyperspectral image Target Detection based on Sparse Representation

Synthesize image datasets of documents in natural scenes with Python+Blender3D

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

通过HOG+SVM训练进行行人检测，行人数据库使用INRIAPerson，程序基于OpenCV实现

A lightweight command line interface for the management of arbitrary machine learning tasks

Lab worksheets for the Applied Deep Learning Course.

Project for managing ML model and deploying ML module. It can deploy the Rekcurd service to Kubernetes cluster.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Tools and libraries for using Tensorflow (and Tensorflow Serving) in go

WolfPACS is an DICOM load balancer written in Erlang.

VisionCamera Frame Processor Plugin to label images using MLKit Vision

A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.

Efficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)

The final teamwork of data mining course, CAIL-2018 competition. NOTE: this is just quite SIMPLE and TRIVIAL code.

No description or website provided.

Deep Learning framework with NVIDIA & AMD support

8th sem Final year Project of VTU

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development

Материалы факультатива по машинному обучению и искусственному интеллекту

EmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.

Making it easier to build stable, trustworthy data-science pipelines.

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

Alpha principles for the ethical use of AI and Data Driven Technologies in Ontario | Proposition de principes pour une utilisation éthique des technologies axées sur les données en Ontario

MATLAB implementation of a basic HOG + SVM pedestrian detector.

Regression, Scrapers, and Visualization

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

this resporatory have ml,ai,nlp,data science etc.python language related material from many websites eg. datacamp,geeksforgeeks,linkedin,youtube,udemy etc. also it include programming challange/competion solutions

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

😎 A curated list of awesome MLOps tools

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.

A toy programming language which is a subset of OCaml.

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

No description or website provided.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Package for automatic beat-mixing of music files in Python 🐻🎚

A library for transfer learning by reusing parts of TensorFlow models.

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

simple tutorial on Machine Learning with Scikitlearn

Reference implementations of popular DL models missing from keras-applications & keras-contrib

The Operator Splitting QP Solver

The missing SVM-based text classification module implementing HanLP's interface

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

Python bindings for BigML.io

Distributed scikit-learn meta-estimators in PySpark

Neural networks library for machine learning on PHP

practice on CIFAR10 with Keras