LIBSVM.jlLIBSVM bindings for Julia
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CONTRIQUEOfficial implementation for "Image Quality Assessment using Contrastive Learning"
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PaQ-2-PiQSource code for "From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality"
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Spatially-Varying-Blur-Detection-pythonpython implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017
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sign-languageAndroid application which uses feature extraction algorithms and machine learning (SVM) to recognise and translate static sign language gestures.
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svmTutorial: Support Vector Machine from scratch using Python3
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ml经典机器学习算法的极简实现
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pghumorIs This a Joke? Humor Detection in Spanish Tweets
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GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
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SvmNesta frame of amd-v svm nest
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info-retrievalInformation Retrieval in High Dimensional Data (class deliverables)
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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
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dzetsakadzetsaka : classification plugin for Qgis
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RADN[CVPRW 2021] Codes for Region-Adaptive Deformable Network for Image Quality Assessment
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geeSharp.jsPan-sharpening in the Earth Engine code editor
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Keras-CIFAR10practice on CIFAR10 with Keras
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biovecProtVec can be used in protein interaction predictions, structure prediction, and protein data visualization.
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FocusLiteNNOfficial PyTorch and MATLAB implementations of our MICCAI 2020 paper "FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology"
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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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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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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
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identification-code基于LibSVM实现的验证码识别,通过对验证码图片进行二值化、去噪、切割等处理后,对每个字符进行识别。识别过程采用LibSVM来实现。可用于识别网站登录的验证码。
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customer churn prediction零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结
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LinearityIQA[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)
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WaDIQaM[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)
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ExtendedMorphologicalProfilesRemote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
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ffsvm-rustFFSVM stands for "Really Fast Support Vector Machine"
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SpeechEmoRecSpeech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching
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handson-ml도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.
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text-classification-svmThe missing SVM-based text classification module implementing HanLP's interface
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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
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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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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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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.
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EasySparseSparse learning in TensorFlow using data acquired from Spark.
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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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svmSupport Vector Machine in Javascript
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BVQA BenchmarkA resource list and performance benchmark for blind video quality assessment (BVQA) models on user-generated content (UGC) datasets. [IEEE TIP'2021] "UGC-VQA: Benchmarking Blind Video Quality Assessment for User Generated Content", Zhengzhong Tu, Yilin Wang, Neil Birkbeck, Balu Adsumilli, Alan C. Bovik
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XCloudOfficial Code for Paper <XCloud: Design and Implementation of AI Cloud Platform with RESTful API Service> (arXiv1912.10344)
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golinearliblinear bindings for Go
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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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VisualMLInteractive Visual Machine Learning Demos.
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RgtsvmThe R package for SVM with GPU architecture based on the GTSVM software
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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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。
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