| Name | Version | Summary | date |
| torchzero |
0.3.15 |
Modular optimization library for PyTorch. |
2025-09-08 10:12:49 |
| deepparameters |
2.0.6 |
Advanced Neural Network CPD Learning for Bayesian Networks with Configurable Parallel Execution Styles - Beta |
2025-09-07 20:26:28 |
| torch-pruning |
1.6.1 |
Towards Any Structural Pruning |
2025-09-07 17:25:48 |
| pytorch-treadmill |
0.4.1 |
A Clean and Modular PyTorch Training Framework |
2025-09-06 19:25:13 |
| lrdbenchmark |
2.1.0 |
Comprehensive Long-Range Dependence Benchmarking Framework with Neural Network Factory - Three-Way Comparison: Classical vs ML vs Neural Networks |
2025-09-06 16:03:04 |
| property-driven-ml |
0.2.7 |
A general framework for property-driven machine learning with logical constraints |
2025-09-06 13:38:45 |
| aitk |
3.1.0 |
Python tools for AI |
2025-09-03 20:47:21 |
| NetKet |
3.19.1 |
Netket : Machine Learning toolbox for many-body quantum systems. |
2025-09-03 18:25:30 |
| ModularML |
0.1.3 |
A library for modular, fast, and reproducible ML experimentation built for R&D. |
2025-09-02 17:38:09 |
| napari-convpaint |
0.7.1 |
A plugin for segmentation by pixel classification using pre-trained neural networks for feature extraction |
2025-09-01 20:57:46 |
| idinn |
0.2.0.post1 |
Inventory dynamics–informed neural networks and other related controllers for solving single-sourcing and dual-sourcing problems. |
2025-09-01 07:49:55 |
| creso |
0.1.0 |
Coherent Resonant Spectral Operator (CReSO) - Lightweight spectral neural networks |
2025-08-31 09:07:17 |
| toynet-ml |
1.0.0 |
An educational but robust deep learning framework implemented from scratch using NumPy. |
2025-08-24 13:56:22 |
| sleap-nn |
0.0.1 |
Neural network backend for training and inference for animal pose estimation. |
2025-08-21 01:31:01 |
| remag |
0.2.3 |
Recovery of high-quality eukaryotic genomes from complex metagenomes |
2025-08-20 09:45:19 |
| monitorch |
0.0.2.0 |
A plug-and-use python library to monitor learning of PyTorch neural networks |
2025-08-18 20:44:05 |
| l0-python |
0.1.0 |
L0 regularization for sparse neural networks and intelligent sampling |
2025-08-18 09:17:06 |
| pyoselm |
1.2.0 |
A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning |
2025-08-17 20:58:19 |
| trading-models |
0.1.3 |
MLP, CNN, Transformer models for time-series trading predictions. |
2025-08-15 09:44:16 |
| chuchichaestli |
0.2.14 |
Where you find all the state-of-the-art cooking utensils (salt, pepper, gradient descent... the usual). |
2025-08-14 07:54:22 |