CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
ExtendedMorphologicalProfilesRemote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
NIDS-Intrusion-DetectionSimple 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
Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
MachineLearning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。
SpeechEmoRecSpeech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
sign-languageAndroid application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.
SentimentAnalysis(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
Handwritten-Digits-Classification-Using-KNN-Multiclass Perceptron-SVM🏆 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.
pghumorIs This a Joke? Humor Detection in Spanish Tweets
Bag-of-Visual-Words🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.
biovecProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.
svmSupport Vector Machine in Javascript
VisualMLInteractive Visual Machine Learning Demos.
svmTutorial: Support Vector Machine from scratch using Python3
info-retrievalInformation Retrieval in High Dimensional Data (class deliverables)
dzetsakadzetsaka : classification plugin for Qgis
Fall-Detection-DatasetFUKinect-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.
GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
ML-Experiments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。
Deception-Detection-on-Amazon-reviews-datasetA SVM model that classifies the reviews as real or fake. Used both the review text and the additional features contained in the data set to build a model that predicted with over 85% accuracy without using any deep learning techniques.
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
TextClassification基于scikit-learn实现对新浪新闻的文本分类,数据集为100w篇文档,总计10类,测试集与训练集1:1划分。分类算法采用SVM和Bayes,其中Bayes作为baseline。
RgtsvmThe R package for SVM with GPU architecture based on the GTSVM software