105 Open source projects that are alternatives of or similar to Defect Detection Classifier

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

Basics of Musical Instruments Classification using Machine Learning

Java Statistical Analysis Tool, a Java library for Machine Learning

Python code for common Machine Learning Algorithms

Padestrian Detection in images using HOG Vector

A computer vision project, based on cimg library and svm training, to classify handwriting number.

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

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

经典机器学习算法的极简实现

微博情感分析，文本分类，毕业设计项目

detect stages in video automatically

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

The Operator Splitting QP Solver

Code for Tensorflow Machine Learning Cookbook

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

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

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

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Hyperspectral image Target Detection based on Sparse Representation

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Android application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.

Curso de Introducción a Machine Learning con Python

Java version of LIBLINEAR

Is This a Joke? Humor Detection in Spanish Tweets

100 Days of ML Coding

Simple machine learning library / 簡單易用的機器學習套件

⛈️ Rumble 1.11.0 "Banyan Tree"🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

Ruby language bindings for LIBSVM

🏭 JavaScript Machine Learning Toolkit

Regression, Scrapers, and Visualization

Vehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.

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

文本分类基准测试

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)

Implementation of Accurate Online Support Vector Regression in Python.

simple tutorial on Machine Learning with Scikitlearn

The Operator Splitting QP Solver

practice on CIFAR10 with Keras

机器学习与深度学习算法示例

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

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

MATLAB implementation of a basic HOG + SVM pedestrian detector.

This is my Third Year Project for face recognition using OpenCV

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

Machine Learning library for the web and Node.

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。

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

x86_64 AMD kernel optimized for performance & hypervisor usage

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

hook msr by amd svm

Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking

The homework of my 3rd-term

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码