| faridcher/ml-course |
168 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
|
R |
| Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language |
| ahmetozlu/vehicle_counting_hog_svm |
78 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
mit |
C++ |
| Vehicle Detection, Tracking and Counting by SVM with HOG Features with OpenCV |
| mithi/vehicle-tracking-2 |
60 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). |
| SamPlvs/Object-detection-via-HOG-SVM |
53 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
|
Python |
| This is an application of Object detection using Histogram of Oriented Gradients (HOG) as features and Support Vector Machines (SVM) as the classifier. Implemented in python, the following libraries are requires |
| hiroyuki-kasai/GDLibrary |
27 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
mit |
Matlab |
| Matlab library for gradient descent algorithms: Version 1.0.1 |
| joaofaro/SVMSGD |
21 |
|
0 |
0 |
about 10 years ago |
0 |
|
1 |
gpl-2.0 |
C++ |
| Stochastic Gradient Descent SVM classifier |
| kryptc/smai-lecture-notes |
21 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
|
| SMAI lecture notes |
| preethampaul/HOG |
18 |
|
0 |
0 |
almost 6 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| Histogram Of Oriented Gradients |
| Microstrong0305/Python2AI |
18 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
|
Jupyter Notebook |
| 从零开始学习人工智能 |
| kirushyk/le |
17 |
|
0 |
0 |
over 2 years ago |
0 |
|
32 |
mit |
C |
| Machine Learning Framework |
