105 Open source projects that are alternatives of or similar to Handwriting Number Classification

(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

基于新浪微博数据的情感极性分析

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)

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。

Aircraft engine failure prediction model

Regression, Scrapers, and Visualization

ProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.

⚡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

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

practice on CIFAR10 with Keras

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

LIBSVM bindings for Julia

Ruby language bindings for LIBSVM

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).

Is This a Joke? Humor Detection in Spanish Tweets

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

Interactive Visual Machine Learning Demos.

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Tutorial: Support Vector Machine from scratch using Python3

simple tutorial on Machine Learning with Scikitlearn

dzetsaka : classification plugin for Qgis

Java version of LIBLINEAR

A document covering machine learning basics. 🤖📊

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

经典机器学习算法的极简实现

Classification of Breast Cancer diagnosis Using Support Vector Machines

Python code for common Machine Learning Algorithms

Hyperspectral image Target Detection based on Sparse Representation

微博情感分析，文本分类，毕业设计项目

Padestrian Detection in images using HOG Vector

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

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

Java Statistical Analysis Tool, a Java library for Machine Learning

🏆 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.

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

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

Curso de Introducción a Machine Learning con Python

Support Vector Machine in Javascript

The Operator Splitting QP Solver

Predicting Google’s stock price using regression

Code for Tensorflow Machine Learning Cookbook

a frame of amd-v svm nest

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

Information Retrieval in High Dimensional Data (class deliverables)

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

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

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

Large Data Analysis Course Project

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

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.

Basics of Musical Instruments Classification using Machine Learning

Matlab library for gradient descent algorithms: Version 1.0.1

detect stages in video automatically

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

文本分类基准测试

The Operator Splitting QP Solver

Machine Learning library for the web and Node.

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

MATLAB implementation of a basic HOG + SVM pedestrian detector.