Updated : 2020-07-09 00:11:49 UTC






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Sum stars of Top 30 repos

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Sum forks of Top 30 repos

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Top Star Repos


  1. 9615
    Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
  2. 4715
    Matlab code for machine learning algorithms in book PRML
  3. 4545
    OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
  4. 3503
    Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
  5. 2421
    Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
  6. 2313
    Faster R-CNN
  1. 2072
    OpenTLD is an open source library for real-time 2D tracking of a single object in video. This repository is no longer under development. For latest version see: http://www.tldvision.com/tld2.html
  2. 2030
    R-CNN: Regions with Convolutional Neural Network Features
  3. 1913
    Transport coordinate between earth(WGS-84) and mars in china(GCJ-02).
  4. 1370
  5. 1316
    This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
  6. 1274
    Class Activation Mapping
  7. 1200
    R-FCN: Object Detection via Region-based Fully Convolutional Networks
  8. 1078
    This repo is specially created for all the work done my me as a part of Coursera&#39;s Machine Learning Course.
  9. 1061
    Tiny Face Detector, CVPR 2017
  10. 952
    This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.
  11. 929
    Bayesian Program Learning model for one-shot learning
  12. 866
    Omniglot data set for one-shot learning
  13. 820
    A MATLAB toolbox for exporting publication quality figures
  14. 770
    Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
  15. 745
    my octave exercises for 2011 stanford machine learning class, posted after the due date of course
  16. 743
    Piotr&#39;s Image &amp; Video Matlab Toolbox
  17. 710
    【国赛】【美赛】数学建模相关算法 MATLAB实现(2018年初整理)
  18. 703
    Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN)
  19. 692
    Memory consumption and FLOP count estimates for convnets
  20. 673
    Structured Edge Detection Toolbox
  21. 651
    Resources about activity recognition-行为识别资料
  22. 581
    🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
  23. 580
    Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

New Repos


  • 1
    Bad weather conditions can reduce visibility on images acquired outdoors, decreasing their visual qual- ity. The image processing task concerned with the mitigation of this effect is known as image dehaz- ing. In this paper we present a new image dehazing technique that can remove the visual degradation due to haze without relying on the inversion of a physical model of haze formation, but respecting its main underlying assumptions. Hence, the proposed technique avoids the need of estimating depth in the scene, as well as costly depth map refinement processes. To achieve this goal, the original hazy image is first artificially under-exposed by means of a sequence of gamma-correction operations. The resulting set of multiply-exposed images is merged into a haze-free result through a multi-scale Laplacian blend- ing scheme. A detailed experimental evaluation is presented in terms of both qualitative and quantitative analysis. The obtained results indicate that the fusion of artificially under-exposed images can effectively remove the effect of haze, even in challenging situations where other current image dehazing techniques fail to produce good-quality results.
  • 1
    Initial repository...
  • 1
    MATLAB Image Repair Processor
  • 1
    This is what I learned in this first ML Course I did in the coursera. It is one of the best course for beginners. There were many assignments which helped in grasping the theory.
  • 1
    Dynamics, control and path planning simulation for a quadrotor vehicle attempting to capture a target UAV in the air.
  • 0
    The purpose of this project is to continuously classify non-steady-state activities of participants using LSTM and LDA. Biomechanical data including linear acceleration and angular velocity of upper and lower-body segments were extracted from motion data and were used as system inputs.
  • 0
    Code used for thesis of Qiuyue LUO




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