Pinned Repositories
benchmark_results
Visual Tracking Paper List
coursera-machinelearning
Stanford University - Machine Learning by Andrew Ng
Deep-Speckle-Correlation
python implementation of Deep speckle correlation: a deep learning approach towards scalale imaging through scattering media
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
DeepLearning_CNN
DeepLearning_Demo
some demo
DeepLearnToolbox
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.
Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
EasyConvNet
A simple implementation of convolutional networks in Matlab
Image-Stitching
MATLAB code for panorama image stitching.
luckyowl2's Repositories
luckyowl2/sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
luckyowl2/benchmark_results
Visual Tracking Paper List
luckyowl2/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
luckyowl2/kalman_filter_multi_object_tracking
Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV
luckyowl2/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
luckyowl2/DeepLearning_CNN
luckyowl2/Matlab_deep_learning
《Matlab计算机视觉与深度学习实战》代码
luckyowl2/machinevision-toolbox-matlab
Machine Vision Toolbox for MATLAB
luckyowl2/tf-tracking
Visual Object Tracking tensorflow-implementation
luckyowl2/DeepLearning_Demo
some demo
luckyowl2/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
luckyowl2/DeepLearnToolbox
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.
luckyowl2/coursera-machinelearning
Stanford University - Machine Learning by Andrew Ng
luckyowl2/Deep-Speckle-Correlation
python implementation of Deep speckle correlation: a deep learning approach towards scalale imaging through scattering media
luckyowl2/matlab-machine-learning
Source Code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas
luckyowl2/siamese-fc
Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
luckyowl2/Machine-Learning--Coursera
My Solution of Assignments of Machine-Learning on Coursera
luckyowl2/TensorFlow-Xception
TensorFlow implementation of the Xception Model by François Chollet
luckyowl2/Vehicle_Detection_Recognition
This is a Matlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset:http://ai.stanford.edu/~jkrause/cars/car_dataset.html
luckyowl2/pose-aligned-deep-networks
Pose Aligned Networks for Deep Attribute Modeling matlab code used for the publication here: http://arxiv.org/abs/1311.5591
luckyowl2/EasyConvNet
A simple implementation of convolutional networks in Matlab
luckyowl2/Image-Stitching
MATLAB code for panorama image stitching.