| LongxingTan/Time-series-prediction |
762 |
|
0 |
0 |
over 2 years ago |
11 |
October 16, 2023 |
11 |
mit |
Python |
| tfts: Time series deep learning models in TensorFlow |
| hunar4321/RLS-neural-net |
42 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
Jupyter Notebook |
| Recursive Leasting Squares (RLS) with Neural Network for fast learning |
| nesl/agrobot |
32 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
bsd-3-clause |
Jupyter Notebook |
| Neural-Kalman GNSS/INS Navigation for Precision Agriculture |
| enochkan/kalmanpy |
27 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
|
Python |
| Implementation of Kalman Filter in Python |
| Sina-Baharlou/Pose-Estimation-EKF |
24 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
|
Python |
| 3D Pose Estimation of the Planar Robot Using Extended Kalman Filter |
| zgbkdlm/dissertation |
20 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
other |
TeX |
| Zheng Zhao's doctoral dissertation from Aalto University |
| UMD-AOSC/DA_Tutorial |
13 |
|
0 |
0 |
almost 6 years ago |
0 |
|
1 |
gpl-3.0 |
Python |
| This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018). |
| jquickgh/udacity-self-driving-car |
11 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Self-Driving Engineer Car Nanodegree |
| docnok/detection-estimation-learning |
8 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study. |
| abdullahalsaidi16/wsn_localization_tracking |
8 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
