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 CourseStarter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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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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ml经典机器学习算法的极简实现
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ClandmarkOpen Source Landmarking Library
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VisualMLInteractive Visual Machine Learning Demos.
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Scene Text RecognitionScene text detection and recognition based on Extremal Region(ER)
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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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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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MtcnnMTCNN face detection implementation for TensorFlow, as a PIP package.
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Mylearnmachine learning algorithm
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Facemaskdetection开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
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Dstl unetDstl Satellite Imagery Feature Detection
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Ssd PytorchSSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
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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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Sfd.pytorchS3FD: single shot face detector in pytorch
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Efficientdet.pytorchImplementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
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Maskyolo caffeYOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN
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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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RistrettoRandomized Dimension Reduction Library
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Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
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OpennpdC++ detect and train of "A Fast and Accurate Unconstrained Face Detector".
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SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
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MobilenetMobileNet build with Tensorflow
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Yolov5 Rt StackYet another yolov5, with its runtime stack for libtorch, onnx, tvm and specialized accelerators. You like torchvision's retinanet? You like yolov5? You love yolort!
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NetcapA framework for secure and scalable network traffic analysis - https://netcap.io
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Ac FpnImplement of paper 《Attention-guided Context Feature Pyramid Network for Object Detection》
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TypefontThe first open-source library that detects the font of a text in a image.
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RrdRRD: Rotation-Sensitive Regression for Oriented Scene Text Detection
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HalogenAutomatically create YARA rules from malicious documents.
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VizukaExplore high-dimensional datasets and how your algo handles specific regions.
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Pytorch Imagenet Cifar Coco Voc TrainingTraining examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.
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EqtransformerEQTransformer, a python package for earthquake signal detection and phase picking using AI.
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LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
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ShurikenCross-Site Scripting (XSS) command line tool for testing lists of XSS payloads on web apps.
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TabiBGP Hijack Detection
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Half SizeCode for "Effective Dimensionality Reduction for Word Embeddings".
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EqcorrscanEarthquake detection and analysis in Python.
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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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Yolo labelGUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet
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Tensorflow Object Detection TutorialThe purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
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RfbnetReceptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
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TabuloTable Detection and Extraction Using Deep Learning ( It is built in Python, using Luminoth, TensorFlow<2.0 and Sonnet.)
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Caffe ModelCaffe models (including classification, detection and segmentation) and deploy files for famouse networks
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Hand gestureHand gesture recognition and segmentation
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