125 Open source projects that are alternatives of or similar to svm

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

Code for Tensorflow Machine Learning Cookbook

Interactive SVM Explorer, using Dash and scikit-learn

Java Statistical Analysis Tool, a Java library for Machine Learning

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

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

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

微博情感分析，文本分类，毕业设计项目

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Curso de Introducción a Machine Learning con Python

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

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

dzetsaka : classification plugin for Qgis

detect stages in video automatically

新浪微博情感分析应用

Python code for common Machine Learning Algorithms

Misc Statistics and Machine Learning codes in R

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

real-time Vehicle Detection( tiny YOLO ver) and HOG+SVM method

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

x86_64 AMD kernel optimized for performance & hypervisor usage

A document covering machine learning basics. 🤖📊

The Operator Splitting QP Solver

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

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

A practice project for machine learning and stop price prediction

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

Gaussian Process package based on data augmentation, sparsity and natural gradients

Basics of Musical Instruments Classification using Machine Learning

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

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

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.

经典机器学习算法的极简实现

detect objects using svm and opencv

Hyperspectral image Target Detection based on Sparse Representation

hook msr by amd svm

Padestrian Detection in images using HOG Vector

Matlab library for gradient descent algorithms: Version 1.0.1

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

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

liblinear bindings for Go

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

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

Support Vector Machine in Javascript

Large Data Analysis Course Project

Predicting Google’s stock price using regression

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

a frame of amd-v svm nest

Linear SVM with PyTorch

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

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

Python Machine Learning Algorithms

LIBSVM bindings for Julia

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).

Information Retrieval in High Dimensional Data (class deliverables)

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Aircraft engine failure prediction model

Classification of Breast Cancer diagnosis Using Support Vector Machines

SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

The homework of my 3rd-term