Series 2 Diarylimidazoles
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tigramite | 1,072 |  | 2 | 6 months 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 | ||||||||||
| Stm32cubef4 | 745 | 5 months ago | 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)) | ||||||||||
| Saxpy | 155 |  | 5 | 5 | 2 years ago | 5 | March 11, 2018 | 5 | gpl-2.0 | Jupyter Notebook |
| Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python | ||||||||||
| Tcdf | 121 | 5 years ago | gpl-3.0 | Jupyter Notebook | ||||||
| Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series | ||||||||||
| Grammarviz2_src | 115 | 2 years ago | 1 | December 29, 2021 | 5 | gpl-2.0 | Java | |||
| GrammarViz 2.0 public release: | ||||||||||
| Sax | 80 | 14 | 3 | 7 months ago | 25 | December 28, 2021 | 6 | gpl-2.0 | Java | |
| Java implementation of SAX, HOT-SAX, and EMMA | ||||||||||
| Stnn | 67 | 5 years ago | 2 | bsd-2-clause | Jupyter Notebook | |||||
| Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery" | ||||||||||
| Jmotif R | 56 | 2 years ago | 5 | February 08, 2020 | 1 | C++ | ||||
| SAX, HOT-SAX, VSM, SAX-VSM, RePair and RRA in R (Rcpp) | ||||||||||
| Atomicwatch | 19 | 7 years ago | other | Python | ||||||
| Intel Atom C2000 series discovery tool that parses log files and returns results if a positive match is found. #nsacyber | ||||||||||
| Tidybench | 13 | 4 years ago | agpl-3.0 | Fortran | ||||||
| TIme series DiscoverY BENCHmark (tidybench) | ||||||||||
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