| Name | Version | Summary | date |
| sann |
1.0.4 |
A Simple Artificial Neural Network (SANN) module, for educational use. |
2025-08-19 08:24:42 |
| cvnn-utils |
0.1.10 |
A lightweight, principled toolkit for Complex-Valued Neural Networks in PyTorch. |
2025-08-18 20:23:24 |
| netron |
8.5.1 |
Viewer for neural network, deep learning and machine learning models. |
2025-08-16 12:14:34 |
| hypothesis-torch |
2.0.0 |
Hypothesis strategies for various Pytorch structures, including tensors and modules. |
2025-08-15 20:08:08 |
| BBDecoder |
1.1.1 |
Analysis of Pytorch Models |
2025-08-07 12:52:15 |
| aptx-neuron |
0.0.3 |
A PyTorch implementation of the APTx Neuron. |
2025-07-29 10:44:31 |
| nntool |
1.8.0 |
NNTool is a package built on top of submitit designed to provide simple abstractions to conduct experiments on Slurm for machine learning research. |
2025-07-19 22:42:22 |
| scient |
0.12.0 |
A python package about science compute algorithm, include natural language, image, neural network, optimize algorithm, machine learning, graphic algorithm, etc. |
2025-07-18 00:29:05 |
| ESPNN |
1.0.1 |
Electronic Stopping Power Neural Network predictor |
2025-07-16 22:57:14 |
| mixed-precision-for-JAX |
0.1.8 |
A toolbox for mixed precision training via JAX. |
2025-07-14 10:56:33 |
| flatiron |
0.22.0 |
Standardized computer vision pipeline framework with a chainable API and procedurally defined model architecture. |
2025-02-26 04:10:14 |
| nanograd-bgriebel |
0.1.4 |
Scalar Automatic Differentiation Engine |
2025-02-07 04:11:00 |
| safestructures |
1.0.0 |
Safetensors-based serialization of general data structures |
2025-02-07 02:36:49 |
| trainplotkit |
0.1.0 |
Create live subplots in your notebook that update while training a PyTorch model |
2025-01-21 22:00:08 |
| mljar-supervised |
1.1.15 |
Automated Machine Learning for Humans |
2025-01-14 09:08:56 |
| pnm |
0.0.1 |
Convert audio to phonetic text and practice improving your speech accent. |
2025-01-14 04:51:36 |
| connectome-interpreter |
2.1.2 |
A tool for connectomics data interpretation |
2025-01-11 23:36:45 |
| hidet |
0.5.0 |
Hidet: a compilation-based DNN inference framework. |
2024-12-21 23:23:52 |
| optilearn |
1.3.6 |
Use to train neural networks, A Package for optimize models, transfer or copy files from one directory to other, use for nlp short word treatment, choosing optimal data for ML models, use for Image Scraping , use in timeseries problem to split the data into train and test, Deal with emojis and emoticons in nlp, word tokenize, token, get the list of Punctuation marks and English Pronouns too, can be used to read text files |
2024-11-28 07:34:30 |
| pytorch-tabular |
1.1.1 |
A standard framework for using Deep Learning for tabular data |
2024-11-28 05:14:23 |