| numenta/NAB |
1,764 |
|
0 |
0 |
almost 3 years ago |
0 |
|
36 |
agpl-3.0 |
Jupyter Notebook |
| The Numenta Anomaly Benchmark |
| joshday/OnlineStats.jl |
786 |
|
11 |
0 |
over 2 years ago |
0 |
May 01, 2018 |
16 |
mit |
Julia |
| ⚡ Single-pass algorithms for statistics |
| kLabUM/rrcf |
450 |
|
0 |
0 |
over 2 years ago |
0 |
|
27 |
mit |
Python |
| 🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams |
| apache/incubator-samoa |
242 |
|
0 |
0 |
almost 3 years ago |
0 |
|
16 |
apache-2.0 |
Java |
| Mirror of Apache Samoa (Incubating) |
| aws/random-cut-forest-by-aws |
235 |
|
0 |
4 |
about 1 month ago |
16 |
July 24, 2023 |
11 |
apache-2.0 |
Java |
| An implementation of the Random Cut Forest data structure for sketching streaming data, with support for anomaly detection, density estimation, imputation, and more. |
| hongzimao/decima-sim |
132 |
|
0 |
0 |
almost 5 years ago |
0 |
|
18 |
|
Python |
| Learning Scheduling Algorithms for Data Processing Clusters |
| takuti/flurs |
100 |
|
1 |
0 |
about 4 years ago |
5 |
January 31, 2022 |
4 |
mit |
Python |
| :ocean: FluRS: A Python library for streaming recommendation algorithms |
| pranab/hoidla |
66 |
|
0 |
0 |
over 5 years ago |
0 |
|
3 |
|
Java |
| Set of real time stream processing algorithms that can be used by big data streaming platform |
| alecmocatta/streaming_algorithms |
59 |
|
1 |
2 |
over 3 years ago |
5 |
July 15, 2020 |
4 |
apache-2.0 |
Rust |
| Performant implementations of various streaming algorithms, including Count–min sketch, Top k, HyperLogLog, Reservoir sampling. |
| sengelha/streaming-percentiles |
47 |
|
0 |
1 |
about 3 years ago |
6 |
March 29, 2019 |
9 |
mit |
C++ |
| Cross-platform, multi-language implementation of multiple streaming percentile algorithms |