| Name | Version | Summary | date |
| hidet |
0.5.0 |
Hidet: a compilation-based DNN inference framework. |
2024-12-21 23:23:52 |
| netron |
8.0.6 |
Viewer for neural network, deep learning and machine learning models. |
2024-12-14 02:47:24 |
| hypothesis-torch |
0.8.7 |
Hypothesis strategies for various Pytorch structures, including tensors and modules. |
2024-12-10 01:22:52 |
| 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 |
| neural-transport |
0.0.2 |
Neural Transport - A Python library to train neural network emulators of atmospheric transport models. |
2024-11-27 17:59:38 |
| connectome-interpreter |
1.13.2 |
A tool for connectomics data interpretation |
2024-11-22 13:27:18 |
| mljar-supervised |
1.1.14 |
Automated Machine Learning for Humans |
2024-11-12 09:10:30 |
| EnergyFlow |
1.4.0 |
Python package for the Energy Flow suite of particle physics tools |
2024-11-01 09:05:42 |
| nnpf |
1.0.2 |
Neural Network for Phase-Field models |
2024-10-22 14:32:57 |
| nntool |
1.2.1 |
neural network tool for research |
2024-10-16 19:36:28 |
| nnbma |
1.0.2 |
Neural network-based model approximation (nnbma) |
2024-10-02 11:35:29 |
| CompNeuroPy |
1.0.4 |
General package for computational neuroscience with ANNarchy. |
2024-09-11 06:52:50 |
| NNSOM |
1.8.2 |
A SOM package |
2024-08-27 13:51:20 |
| scient |
0.8.0 |
A python package about science compute algorithm, include natural language, image, neural network, optimize algorithm, machine learning, graphic algorithm, etc. |
2024-08-15 04:08:17 |
| gaston-spatial |
0.0.1 |
GASTON: interpretable deep learning model for spatial transcriptomics |
2024-08-01 00:29:17 |
| eznet-keras |
1.1.3 |
Easily build Keras models: utils for training/testing, built-in ANN, CNN, RNN models, modular Dense and Convolutional blocks, etc. |
2024-07-27 18:03:26 |
| keras-mdn-layer |
0.4.4 |
An MDN Layer for Keras using TensorFlow's distributions module |
2024-07-23 06:26:21 |
| deepsparse-ent |
1.8.0 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-07-19 16:32:32 |
| deepsparse |
1.8.0 |
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application |
2024-07-19 16:29:01 |