| jakobrunge/tigramite |
1,072 |
|
0 |
2 |
over 2 years ago |
33 |
October 10, 2023 |
9 |
gpl-3.0 |
Jupyter Notebook |
| Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at |
| STMicroelectronics/STM32CubeF4 |
745 |
|
0 |
0 |
about 2 years ago |
0 |
|
16 |
other |
C |
| STM32Cube MCU Full Package for the STM32F4 series - (HAL + LL Drivers, CMSIS Core, CMSIS Device, MW libraries plus a set of Projects running on all boards provided by ST (Nucleo, Evaluation and Discovery Kits)) |
| seninp/saxpy |
155 |
|
5 |
5 |
about 4 years ago |
5 |
March 11, 2018 |
5 |
gpl-2.0 |
Jupyter Notebook |
| Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python |
| M-Nauta/TCDF |
121 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
gpl-3.0 |
Jupyter Notebook |
| Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series |
| GrammarViz2/grammarviz2_src |
115 |
|
0 |
0 |
over 4 years ago |
1 |
December 29, 2021 |
5 |
gpl-2.0 |
Java |
| GrammarViz 2.0 public release: |
| jMotif/SAX |
80 |
|
14 |
3 |
over 2 years ago |
25 |
December 28, 2021 |
6 |
gpl-2.0 |
Java |
| Java implementation of SAX, HOT-SAX, and EMMA |
| edouardelasalles/stnn |
67 |
|
0 |
0 |
over 6 years ago |
0 |
|
2 |
bsd-2-clause |
Jupyter Notebook |
| Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery" |
| jMotif/jmotif-R |
56 |
|
0 |
0 |
over 3 years ago |
5 |
February 08, 2020 |
1 |
|
C++ |
| SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp) |
| nsacyber/AtomicWatch |
19 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
other |
Python |
| Intel Atom C2000 series discovery tool that parses log files and returns results if a positive match is found. #nsacyber |
| sweichwald/tidybench |
13 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
agpl-3.0 |
Fortran |
| TIme series DiscoverY BENCHmark (tidybench) |
