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| Ranking | Project Name | Stars | Forks | Language | Open Issues | Description | Last Commit |
| ------- | ------------ | ----- | ----- | -------- | ----------- | ----------- | ----------- |
| 1 | [deep-photo-styletransfer](https://github.com/luanfujun/deep-photo-styletransfer) | 9897 | 1439 | MATLAB | 29 | Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511 | 2021-08-02T01:07:44Z |
| 2 | [OpenFace](https://github.com/TadasBaltrusaitis/OpenFace) | 5650 | 1699 | MATLAB | 270 | OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. | 2021-12-19T06:24:12Z |
| 3 | [PRMLT](https://github.com/PRML/PRMLT) | 5542 | 2129 | MATLAB | 0 | Matlab code of machine learning algorithms in book PRML | 2020-03-04T13:50:30Z |
| 4 | [vrn](https://github.com/AaronJackson/vrn) | 4426 | 746 | MATLAB | 5 | :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression" | 2021-09-07T19:16:46Z |
| 2 | [OpenFace](https://github.com/TadasBaltrusaitis/OpenFace) | 5651 | 1700 | MATLAB | 270 | OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. | 2021-12-19T06:24:12Z |
| 3 | [PRMLT](https://github.com/PRML/PRMLT) | 5543 | 2129 | MATLAB | 0 | Matlab code of machine learning algorithms in book PRML | 2020-03-04T13:50:30Z |
| 4 | [vrn](https://github.com/AaronJackson/vrn) | 4427 | 746 | MATLAB | 5 | :man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression" | 2021-09-07T19:16:46Z |
| 5 | [DeepLearnToolbox](https://github.com/rasmusbergpalm/DeepLearnToolbox) | 3686 | 2304 | MATLAB | 68 | 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. | 2018-10-13T18:08:01Z |
| 6 | [Stanford-CS-229-CN](https://github.com/cycleuser/Stanford-CS-229-CN) | 3102 | 831 | MATLAB | 3 | A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译 | 2022-03-01T05:11:19Z |
| 7 | [MTCNN_face_detection_alignment](https://github.com/kpzhang93/MTCNN_face_detection_alignment) | 2667 | 1022 | MATLAB | 44 | Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks | 2018-04-04T03:17:19Z |
| 8 | [faster_rcnn](https://github.com/ShaoqingRen/faster_rcnn) | 2533 | 1225 | MATLAB | 138 | Faster R-CNN | 2018-07-26T04:26:32Z |
| 9 | [rcnn](https://github.com/rbgirshick/rcnn) | 2237 | 984 | MATLAB | 52 | R-CNN: Regions with Convolutional Neural Network Features | 2017-04-03T16:16:14Z |
| 10 | [eviltransform](https://github.com/googollee/eviltransform) | 2124 | 454 | MATLAB | 8 | Transport coordinate between earth(WGS-84) and mars in china(GCJ-02). | 2020-01-25T12:23:20Z |
| 9 | [rcnn](https://github.com/rbgirshick/rcnn) | 2238 | 984 | MATLAB | 52 | R-CNN: Regions with Convolutional Neural Network Features | 2017-04-03T16:16:14Z |
| 10 | [eviltransform](https://github.com/googollee/eviltransform) | 2124 | 453 | MATLAB | 8 | Transport coordinate between earth(WGS-84) and mars in china(GCJ-02). | 2020-01-25T12:23:20Z |
| 11 | [OpenTLD](https://github.com/zk00006/OpenTLD) | 2094 | 1296 | MATLAB | 33 | 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 | 2022-05-18T19:06:49Z |
| 12 | [CAM](https://github.com/zhoubolei/CAM) | 1650 | 447 | MATLAB | 14 | Class Activation Mapping | 2022-03-03T15:29:03Z |
| 13 | [Coding-Guide](https://github.com/ecmadao/Coding-Guide) | 1429 | 187 | MATLAB | 0 | 自己随手记录的东西 | 2022-03-29T01:30:39Z |
| 14 | [Algorithms_MathModels](https://github.com/HuangCongQing/Algorithms_MathModels) | 1437 | 522 | MATLAB | 1 | 【国赛】【美赛】数学建模相关算法 MATLAB实现（2018年初整理） | 2022-05-23T14:10:15Z |
| 14 | [Algorithms_MathModels](https://github.com/HuangCongQing/Algorithms_MathModels) | 1439 | 522 | MATLAB | 1 | 【国赛】【美赛】数学建模相关算法 MATLAB实现（2018年初整理） | 2022-05-23T14:10:15Z |
| 15 | [MCM-ICM](https://github.com/dick20/MCM-ICM) | 1391 | 328 | MATLAB | 0 | 2004-2020美赛O奖论文 | 2021-01-13T12:26:23Z |
| 16 | [crfasrnn](https://github.com/torrvision/crfasrnn) | 1328 | 464 | MATLAB | 46 | 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/ | 2019-11-30T13:17:39Z |
| 17 | [Math_Model](https://github.com/personqianduixue/Math_Model) | 1287 | 465 | MATLAB | 0 | 数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法 | 2022-06-28T06:09:42Z |
| 17 | [Math_Model](https://github.com/personqianduixue/Math_Model) | 1291 | 467 | MATLAB | 0 | 数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法 | 2022-06-28T06:09:42Z |
| 18 | [R-FCN](https://github.com/daijifeng001/R-FCN) | 1224 | 555 | MATLAB | 30 | R-FCN: Object Detection via Region-based Fully Convolutional Networks | 2017-05-05T15:50:59Z |
| 19 | [matlab2tikz](https://github.com/matlab2tikz/matlab2tikz) | 1226 | 287 | MATLAB | 224 | This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX. | 2022-06-14T11:31:19Z |
| 20 | [omniglot](https://github.com/brendenlake/omniglot) | 1160 | 353 | MATLAB | 0 | Omniglot data set for one-shot learning | 2019-02-13T15:11:01Z |
| 20 | [omniglot](https://github.com/brendenlake/omniglot) | 1161 | 353 | MATLAB | 0 | Omniglot data set for one-shot learning | 2019-02-13T15:11:01Z |
| 21 | [machine-learning-coursera-1](https://github.com/Borye/machine-learning-coursera-1) | 1136 | 932 | MATLAB | 0 | This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course. | 2019-07-28T13:49:39Z |
| 22 | [tiny](https://github.com/peiyunh/tiny) | 1116 | 323 | MATLAB | 5 | Tiny Face Detector, CVPR 2017 | 2020-03-21T02:04:30Z |
| 22 | [tiny](https://github.com/peiyunh/tiny) | 1115 | 323 | MATLAB | 5 | Tiny Face Detector, CVPR 2017 | 2020-03-21T02:04:30Z |
| 23 | [export_fig](https://github.com/altmany/export_fig) | 1073 | 334 | MATLAB | 41 | A MATLAB toolbox for exporting publication quality figures | 2022-05-16T08:31:49Z |
| 24 | [DnCNN](https://github.com/cszn/DnCNN) | 1097 | 503 | MATLAB | 33 | Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017) | 2021-10-09T22:04:36Z |
| 25 | [Machine-Learning-homework](https://github.com/Ayatans/Machine-Learning-homework) | 1235 | 550 | MATLAB | 1 | Matlab Coding homework for Machine Learning | 2020-04-28T02:45:57Z |
| 26 | [BPL](https://github.com/brendenlake/BPL) | 963 | 311 | MATLAB | 0 | Bayesian Program Learning model for one-shot learning | 2015-12-28T20:48:56Z |
| 27 | [Coursera-Machine-Learning-Stanford](https://github.com/atinesh-s/Coursera-Machine-Learning-Stanford) | 997 | 769 | MATLAB | 2 | Machine learning-Stanford University | 2022-05-09T16:28:34Z |
| 24 | [DnCNN](https://github.com/cszn/DnCNN) | 1098 | 503 | MATLAB | 33 | Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017) | 2021-10-09T22:04:36Z |
| 25 | [Machine-Learning-homework](https://github.com/Ayatans/Machine-Learning-homework) | 1238 | 550 | MATLAB | 1 | Matlab Coding homework for Machine Learning | 2020-04-28T02:45:57Z |
| 26 | [BPL](https://github.com/brendenlake/BPL) | 962 | 311 | MATLAB | 0 | Bayesian Program Learning model for one-shot learning | 2015-12-28T20:48:56Z |
| 27 | [Coursera-Machine-Learning-Stanford](https://github.com/atinesh-s/Coursera-Machine-Learning-Stanford) | 996 | 769 | MATLAB | 2 | Machine learning-Stanford University | 2022-05-09T16:28:34Z |
| 28 | [matlab-schemer](https://github.com/scottclowe/matlab-schemer) | 913 | 251 | MATLAB | 13 | Apply and save color schemes in MATLAB with ease. | 2022-02-10T15:47:53Z |
| 29 | [convnet-burden](https://github.com/albanie/convnet-burden) | 850 | 119 | MATLAB | 5 | Memory consumption and FLOP count estimates for convnets | 2019-01-17T11:15:00Z |
| 30 | [robotics-toolbox-matlab](https://github.com/petercorke/robotics-toolbox-matlab) | 876 | 385 | MATLAB | 69 | Robotics Toolbox for MATLAB | 2022-05-04T01:14:25Z |
| 31 | [activityrecognition](https://github.com/jindongwang/activityrecognition) | 819 | 349 | MATLAB | 1 | Resources about activity recognition-行为识别资料 | 2019-08-20T05:46:37Z |
| 32 | [Octave](https://github.com/schneems/Octave) | 813 | 522 | MATLAB | 5 | my octave exercises for 2011 stanford machine learning class, posted after the due date of course | 2021-07-02T19:34:38Z |
| 33 | [toolbox](https://github.com/pdollar/toolbox) | 809 | 506 | MATLAB | 33 | Piotr's Image & Video Matlab Toolbox | 2019-05-06T18:46:16Z |
| 34 | [Gait-Tracking-With-x-IMU](https://github.com/xioTechnologies/Gait-Tracking-With-x-IMU) | 813 | 384 | MATLAB | 21 | None | 2017-08-03T13:31:31Z |
| 35 | [PlatEMO](https://github.com/BIMK/PlatEMO) | 773 | 336 | MATLAB | 41 | Evolutionary multi-objective optimization platform | 2022-06-28T08:19:16Z |
| 34 | [Gait-Tracking-With-x-IMU](https://github.com/xioTechnologies/Gait-Tracking-With-x-IMU) | 814 | 384 | MATLAB | 21 | None | 2017-08-03T13:31:31Z |
| 35 | [PlatEMO](https://github.com/BIMK/PlatEMO) | 774 | 336 | MATLAB | 41 | Evolutionary multi-objective optimization platform | 2022-06-28T08:19:16Z |
| 36 | [edges](https://github.com/pdollar/edges) | 770 | 366 | MATLAB | 16 | Structured Edge Detection Toolbox | 2019-12-02T22:40:33Z |
| 37 | [machine-learning-octave](https://github.com/trekhleb/machine-learning-octave) | 733 | 223 | MATLAB | 0 | 🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained | 2020-07-08T05:58:17Z |
| 38 | [face_verification_experiment](https://github.com/AlfredXiangWu/face_verification_experiment) | 711 | 331 | MATLAB | 2 | Original Caffe Version for LightCNN-9. Highly recommend to use PyTorch Version (https://github.com/AlfredXiangWu/LightCNN) | 2017-02-10T09:19:33Z |
| 39 | [VAD](https://github.com/jtkim-kaist/VAD) | 723 | 214 | MATLAB | 30 | Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset. | 2021-06-09T07:28:56Z |
| 40 | [lrslibrary](https://github.com/andrewssobral/lrslibrary) | 709 | 364 | MATLAB | 4 | Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos | 2021-03-12T11:19:42Z |
| 41 | [Total-Text-Dataset](https://github.com/cs-chan/Total-Text-Dataset) | 647 | 141 | MATLAB | 1 | Total Text Dataset. It consists of 1555 images with more than 3 different text orientations: Horizontal, Multi-Oriented, and Curved, one of a kind. | 2022-04-06T04:36:39Z |
| 42 | [fieldtrip](https://github.com/fieldtrip/fieldtrip) | 635 | 615 | MATLAB | 76 | The MATLAB toolbox for MEG, EEG and iEEG analysis | 2022-07-01T09:13:02Z |
| 42 | [fieldtrip](https://github.com/fieldtrip/fieldtrip) | 635 | 615 | MATLAB | 76 | The MATLAB toolbox for MEG, EEG and iEEG analysis | 2022-07-03T09:23:17Z |
| 43 | [Image-Harmonization-Dataset-iHarmony4](https://github.com/bcmi/Image-Harmonization-Dataset-iHarmony4) | 635 | 80 | MATLAB | 0 | [CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc. | 2022-05-03T03:26:13Z |
| 44 | [mexopencv](https://github.com/kyamagu/mexopencv) | 628 | 317 | MATLAB | 37 | Collection and a development kit of matlab mex functions for OpenCV library | 2020-10-23T01:25:05Z |
| 45 | [gramm](https://github.com/piermorel/gramm) | 644 | 193 | MATLAB | 32 | Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library. | 2021-11-03T07:35:43Z |
@@ -60,7 +60,7 @@
| 53 | [Detect-Track](https://github.com/feichtenhofer/Detect-Track) | 541 | 107 | MATLAB | 18 | Code release for "Detect to Track and Track to Detect", ICCV 2017 | 2018-07-03T16:38:41Z |
| 54 | [Mathematics](https://github.com/Ewenwan/Mathematics) | 554 | 229 | MATLAB | 2 | 数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合 | 2020-09-12T02:38:03Z |
| 55 | [IMUCalibration-Gesture](https://github.com/shenshikexmu/IMUCalibration-Gesture) | 524 | 219 | MATLAB | 0 | calibration for Imu and show gesture | 2022-06-30T03:04:55Z |
| 56 | [hctsa](https://github.com/benfulcher/hctsa) | 525 | 232 | MATLAB | 6 | Highly comparative time-series analysis | 2022-06-30T04:34:56Z |
| 56 | [hctsa](https://github.com/benfulcher/hctsa) | 526 | 232 | MATLAB | 6 | Highly comparative time-series analysis | 2022-06-30T04:34:56Z |
| 57 | [Stanford-Machine-Learning-Course](https://github.com/zhouxc/Stanford-Machine-Learning-Course) | 520 | 365 | MATLAB | 0 | machine learning course programming exercise | 2011-12-25T10:04:23Z |
| 58 | [vgg_face2](https://github.com/ox-vgg/vgg_face2) | 526 | 104 | MATLAB | 3 | None | 2020-02-18T15:30:05Z |
| 59 | [IRCNN](https://github.com/cszn/IRCNN) | 524 | 176 | MATLAB | 11 | Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab) | 2021-10-09T22:03:58Z |