Name | Version | Summary | date |
turing-machine-utils |
1.0.7 |
Calculate the result of a turing machine on a given tape |
2023-12-30 17:30:26 |
pcw-regrs-py |
1.9.1 |
Fast, optimal, extensible and cross-validated heterogeneous piecewise polynomial regression for timeseries. |
2023-12-10 18:06:58 |
triesus |
0.5.2 |
Find the Smallest Unique Subset (SUS) |
2023-12-06 10:44:35 |
transcriptorthology |
3.0.2 |
Algorithm to address Orthology and Paralogy at the Transcript Level |
2023-12-02 02:44:05 |
galsen-game-of-life |
1.1 |
Game of life version galsen |
2023-11-16 16:57:32 |
GrADySIM |
0.0.1 |
A framework for implementing distributed algorithms in a simulated network environment |
2023-11-07 12:21:30 |
yotse |
0.2.0 |
Your Optimization Tool for Scientific Experiments |
2023-10-23 14:54:47 |
cualgo |
0.2.0 |
A Pytnon library containing basic algorithm with GPU-accelerated computing. |
2023-10-15 12:30:18 |
leafy |
1.0.0 |
Another fast graph algorithms library |
2023-10-04 13:58:31 |
pymeth |
1.0.1 |
A python package for using basic math algorithm |
2023-09-23 18:11:35 |
algviz |
0.3.1 |
An algorithm visualization tool for jupyter notebook to show animation for vector, table, linked list, tree and graph data structures. |
2023-09-09 12:36:20 |
geeeks |
0.1.5 |
A package to make your life easy. |
2023-09-04 14:30:28 |
rgmining-fraud-eagle |
0.10.3 |
An implementation of Fraud Eagle algorithm |
2023-08-30 05:44:08 |
rgmining-fraudar |
0.7.3 |
A wrapper of Fraudar algorithm for Review graph mining project |
2023-08-30 05:25:09 |
fuckyou-sort |
1.0.1 |
Technically the quickest sorting algorithm. |
2023-08-07 18:16:52 |
PyDSAlgo |
1.1.0 |
Python Package for Data structure and algorithms implementation with its proper explanation |
2023-08-06 10:56:56 |
rgmining-rsd |
0.3.3 |
An implementation of Review Spammer Detection algorithm |
2023-07-26 07:42:58 |
rx-algorithm |
1.0.0 |
RX algorithm implementation in NumPy |
2023-07-10 09:50:54 |
EDAspy |
1.1.1 |
EDAspy is a Python package that implements Estimation of Distribution Algorithms. EDAspy allows toeither use already existing implementations or customize the EDAs baseline easily building it bymodules so new research can be easily developed. It also has several benchmarks for comparisons. |
2023-06-28 09:36:34 |
PythonHuff |
1.0.4 |
Huffman compression and decompression (Pure Python implementation) |
2023-06-27 08:19:29 |