| Name | Version | Summary | date |
| aquila-borg |
2.1.2 |
ARES/BORG engine packaged in a Python module |
2024-11-18 07:40:35 |
| collectd-transmission |
3.6 |
A python plugin for collectd to get stats from a runnning transmission server |
2024-11-17 22:27:52 |
| deeva |
1.0.1 |
Object Detection Data Analysis Toolbox |
2024-11-14 05:38:51 |
| estimagic |
0.5.1 |
Tools to solve difficult numerical optimization problems. |
2024-11-13 17:11:56 |
| optimagic |
0.5.1 |
Tools to solve difficult numerical optimization problems. |
2024-11-13 17:03:15 |
| pqm |
0.6.2 |
Implemenation of the PQMass two sample test from Lemos et al. 2024 |
2024-11-11 16:54:42 |
| metrikflow |
0.1.5 |
A library for processing and sending metrics. |
2024-11-08 15:34:02 |
| BayesicFitting |
3.2.2 |
A Python Toolbox for Bayesian fitting. |
2024-11-07 17:13:24 |
| pysumreg |
1.0.7 |
Statistics of list of (x, y) pairs from calculator-style summation registers. |
2024-11-01 16:47:02 |
| adaptivepca |
1.1.3 |
An advanced PCA implementation with adaptive feature scaling and preprocessing |
2024-10-31 03:51:45 |
| toyml |
0.4.0 |
ToyML: Machine Learning from Scratch |
2024-10-29 15:08:58 |
| lumin |
0.9.1 |
LUMIN Unifies Many Improvements for Networks: A PyTorch wrapper to make deep learning more accessable to scientists. |
2024-10-29 08:05:07 |
| lmoments3 |
1.0.8 |
A library extend scipy with L-moments to calculate optimal parameters for a number of distributions |
2024-10-18 20:25:30 |
| scikit-statistics |
0.1.0 |
Community driven collection of statistical distributions for SciPy |
2024-10-16 22:58:14 |
| stochastic-py |
0.10.5 |
A Rust library for quant finance and simulating stochastic processes. |
2024-10-08 21:39:55 |
| statsdir |
0.0.2.1 |
statsdir. |
2024-10-08 03:32:29 |
| linearmodels |
6.1 |
Linear Panel, Instrumental Variable, Asset Pricing, and System Regression models for Python |
2024-09-24 09:46:18 |
| mutation_motif |
2024.9.22 |
mutation_motif, software for naalyses of point mutations, see https://www.ncbi.nlm.nih.gov/pubmed/27974498 |
2024-09-22 02:16:54 |
| QUnfold |
0.3.5 |
A quantum-based approach to the distribution unfolding problem |
2024-09-20 20:03:51 |
| perplexity-correlations |
0.1.2 |
Simple and scalable tools for great pretraining data selection. |
2024-09-19 21:57:55 |