drowsiness-detectionTo identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV
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LightnetEfficient, transparent deep learning in hundreds of lines of code.
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MoTISMobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.
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Recommender-SystemsImplementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
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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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Crnn PytorchPytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.
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ml经典机器学习算法的极简实现
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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ALPR-IndonesiaAutomatic license plate recognition for Indonesian plate (White on black)
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spark-annoyBuilding Annoy Index on Apache Spark
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PyconvPyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
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deforestationA machine learning exercise, using KNN to classify deforested areas
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KervolutionKervolution implementation using TF2.0
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Selecsls PytorchReference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".
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MSFOfficial code for "Mean Shift for Self-Supervised Learning"
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CnnforandroidThe Convolutional Neural Network(CNN) for Android
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Audio-Classification-using-CNN-MLPMulti class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.
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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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Image Compression CnnSemantic JPEG image compression using deep convolutional neural network (CNN)
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knn-cppA header-only C++ library for k nearest neighbor search with Eigen3.
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LcnnLCNN: End-to-End Wireframe Parsing
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TengineTengine is a lite, high performance, modular inference engine for embedded device
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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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paccmann kinase binding residuesComparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…
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fastknnFast k-Nearest Neighbors Classifier for Large Datasets
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Portrait FCN and 3D ReconstructionThis project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.
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stylenetA pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
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Torch CamClass activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)
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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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Four flower使用tensorflow和cnn做的图像识别,对四种花进行了分类。
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Machine learning trading algorithmMaster's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals
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Dfl CnnThis is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
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WSCNNTDSaliency[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator
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Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
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Gordon cnnA small convolution neural network deep learning framework implemented in c++.
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Ai ToolboxAlgorithm Engineer Toolbox, for the purpose of quickly iterating new ideas
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KernelKnnKernel k Nearest Neighbors in R
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dlime experimentsIn this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
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mods-light-zmqMODS with external deep descriptors/detectors
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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Awesome-ScriptsA collection of awesome scripts from developers around the globe.
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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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ml-simulationsAnimated Visualizations of Popular Machine Learning Algorithms
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