105 Open source projects that are alternatives of or similar to Rgtsvm

Python code for common Machine Learning Algorithms

机器学习与深度学习算法示例

🏭 JavaScript Machine Learning Toolkit

Machine Learning library for the web and Node.

x86_64 AMD kernel optimized for performance & hypervisor usage

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

The Operator Splitting QP Solver

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

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

⚡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

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

This is my Third Year Project for face recognition using OpenCV

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

100 Days of ML Coding

Scene text detection and recognition based on Extremal Region(ER)

文本分类基准测试

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

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

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

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

Java version of LIBLINEAR

machine learning algorithm

⛈️ 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

Regression, Scrapers, and Visualization

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

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

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).

Interactive SVM Explorer, using Dash and scikit-learn

The homework of my 3rd-term

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）

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

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

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

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

Code for Tensorflow Machine Learning Cookbook

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

Java Statistical Analysis Tool, a Java library for Machine Learning

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.

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

Linear SVM with PyTorch

微博情感分析，文本分类，毕业设计项目

hook msr by amd svm

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

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

detect stages in video automatically

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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

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

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

新浪微博情感分析应用

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

liblinear bindings for Go

Open Source Landmarking Library

A minimalistic educational hypervisor for Windows on AMD processors.

LinearGo (Go wrapper for LIBLINEAR): A Library for Large Linear Classification

Implementation of Accurate Online Support Vector Regression in Python.