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.
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DSPKMThis is the page for the book Digital Signal Processing with Kernel Methods.
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Mylearnmachine learning algorithm
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Scene Text RecognitionScene text detection and recognition based on Extremal Region(ER)
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learning mlI am teaching a Learning ML workshop for some folks @ Belong.co. Creating this repo to organise the course material.
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RgtsvmThe R package for SVM with GPU architecture based on the GTSVM software
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Vehicle counting hog svmVehicle detection, tracking and counting by SVM is trained with HOG features using OpenCV on c++.
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SimplesvmA minimalistic educational hypervisor for Windows on AMD processors.
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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.
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Tiny mlnumpy 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
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Shapley regressionsStatistical inference on machine learning or general non-parametric models
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LineargoLinearGo (Go wrapper for LIBLINEAR): A Library for Large Linear Classification
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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。
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TextclfTextClf :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。
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compvInsanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
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Emotion-recognition-from-tweetsA comprehensive approach on recognizing emotion (sentiment) from a certain tweet. Supervised machine learning.
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Sarcasm DetectionDetecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
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AIML-ProjectsProjects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
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Rumble⛈️ 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
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Online SvrImplementation of Accurate Online Support Vector Regression in Python.
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Ml CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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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。
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Dash SvmInteractive SVM Explorer, using Dash and scikit-learn
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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.
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Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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Ml ProjectsML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
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dzetsakadzetsaka : classification plugin for Qgis
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Mnist ClassificationPytorch、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)
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handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
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Nlp JourneyDocuments, 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.
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GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
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Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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golinearliblinear bindings for Go
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Vehicle DetectionVehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
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svm-pytorchLinear SVM with PyTorch
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LIBSVM.jlLIBSVM bindings for Julia
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Glcm Svm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
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ClandmarkOpen Source Landmarking Library
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Patternrecognition matlabFeature 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).
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info-retrievalInformation Retrieval in High Dimensional Data (class deliverables)
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