| 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. |
| pyro-ppl/pyro |
8,255 |
|
18 |
90 |
about 2 years ago |
34 |
July 29, 2023 |
248 |
apache-2.0 |
Python |
| Deep universal probabilistic programming with Python and PyTorch |
| pymc-devs/pymc |
7,996 |
|
143 |
106 |
about 2 years ago |
36 |
March 15, 2022 |
271 |
other |
Python |
| Bayesian Modeling and Probabilistic Programming in Python |
| pytorch/botorch |
2,880 |
|
0 |
40 |
about 2 years ago |
42 |
December 09, 2023 |
69 |
mit |
Jupyter Notebook |
| Bayesian optimization in PyTorch |
| pgmpy/pgmpy |
2,551 |
|
6 |
26 |
about 2 years ago |
24 |
October 16, 2023 |
262 |
mit |
Python |
| Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks. |
| stan-dev/stan |
2,484 |
|
0 |
0 |
about 2 years ago |
0 |
|
165 |
bsd-3-clause |
C++ |
| Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details. |
| MingchaoZhu/DeepLearning |
2,347 |
|
0 |
0 |
almost 6 years ago |
0 |
|
3 |
mit |
Python |
| Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现 |
| facebook/Ax |
2,217 |
|
2 |
26 |
about 2 years ago |
39 |
December 09, 2023 |
68 |
mit |
Python |
| Adaptive Experimentation Platform |
| markdregan/Bayesian-Modelling-in-Python |
2,202 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A python tutorial on bayesian modeling techniques (PyMC3) |
| thu-ml/zhusuan |
2,139 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Python |
| A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow |
