| rlabbe/Kalman-and-Bayesian-Filters-in-Python |
15,017 |
|
0 |
0 |
over 2 years ago |
0 |
|
112 |
other |
Jupyter Notebook |
| Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions. |
| ricsinaruto/gutenberg-dialog |
20 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| Build a dialog dataset from online books in many languages |
| zhengyima/Qmazon |
15 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
mit |
C++ |
| Qt c++ 图书推荐与评论系统GUI 协同过滤推荐 collaborative filtering, book recommendation System, Book-Crossing Dataset |
| Divyanshu169/IT556_Worthless_without_coffee_DA-IICT_Final_Project |
9 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
mit |
Python |
| This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix. |
| Aadeshp/AddressBookManager |
8 |
|
0 |
0 |
almost 10 years ago |
0 |
|
1 |
mit |
Swift |
| Swift Wrapper Class For Apple's ABAddressBook Framework |
| anareaty/PocketBook_Collection_Manager |
8 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
JavaScript |