| Name | Version | Summary | date |
| deepbays |
0.1.11 |
Bayesian deep neural networks in the proportional regime as renormalized kernel gaussian processes |
2024-11-05 12:54:09 |
| metaperceptron |
2.0.0 |
MetaPerceptron: A Standardized Framework for Metaheuristic-Trained Multi-Layer Perceptron |
2024-11-04 07:36:03 |
| segmentae |
1.0.27 |
SegmentAE: A Python Library for Anomaly Detection Optimization |
2024-10-24 18:33:51 |
| aitk |
3.0.1 |
Python tools for AI |
2024-10-21 18:00:09 |
| mlrose-ky |
1.1.6 |
MLROSe-ky: Machine Learning, Randomized Optimization and Search |
2024-10-12 22:21:51 |
| mle-agent |
0.4.2 |
MLE-agent: An agent to automate your MLE processes |
2024-10-12 16:46:15 |
| deep-chess-playground |
0.0.4 |
Where deep learning meets chess |
2024-10-10 19:06:50 |
| intelelm |
1.2.0 |
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine |
2024-10-09 06:10:03 |
| blenderneuron |
2.1.1 |
Interface for Blender <-> NEURON |
2024-10-08 23:37:12 |
| pypots |
0.8.1 |
A Python Toolbox for Machine Learning on Partially-Observed Time Series |
2024-09-26 05:57:24 |
| contextual-bandits-algos |
0.1.0 |
A library for contextual multi-armed bandit algorithms. |
2024-09-15 22:36:26 |
| ai4ts |
0.0.3 |
AI for Time Series |
2024-09-14 02:08:54 |
| pytagi |
0.1.11 |
Tractable Approximate Gaussian Inference |
2024-09-13 12:48:41 |
| TimeSeriesAI |
0.0.0 |
AI for Time Series |
2024-09-07 16:53:00 |
| inox |
0.6.3 |
Stainless neural networks in JAX |
2024-09-02 10:25:38 |
| MIDASpy |
1.4.1 |
Multiple Imputation with Denoising Autoencoders |
2024-08-31 18:17:29 |
| MiniSom |
2.3.3 |
Minimalistic implementation of the Self Organizing Maps (SOM) |
2024-08-23 12:22:45 |
| TfELM |
1.1 |
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning algorithm known for their simplicity, efficiency, and scalability, making them ideal for various applications, including classification, regression, and feature learning tasks. |
2024-08-20 09:28:42 |
| xcsf |
1.4.7 |
XCSF learning classifier system: rule-based evolutionary machine learning |
2024-08-19 18:38:12 |
| soft-comp |
0.0.1.dev19 |
Soft-Computing algorithms and helpers for lecture and exercises - Intelligent Embedded Systems (IES), University of Kassel |
2024-08-19 13:13:40 |