| Name | Version | Summary | date |
| deepfilternet |
0.5.6 |
Noise supression using deep filtering |
2023-08-31 11:50:54 |
| sequence-unet |
1.0.3 |
Make protein predictions with Sequence UNET and train new models |
2023-07-28 14:43:15 |
| convinence-torch |
1.0.0 |
minimalistic convenience utilities for using PyTorch |
2023-07-23 01:52:26 |
| PG-SUI |
0.2 |
Python machine and deep learning package to impute missing SNPs |
2023-07-23 01:31:36 |
| eznet-torch |
0.0.1 |
Easily build PyTorch models: utils for training/testing, built-in ANN, CNN, RNN models, modular Dense and Convolutional blocks, etc. |
2023-07-15 18:05:02 |
| NNTools |
0.1.0 |
Light library built to facilitate the training of neural network with Pytorch. |
2023-07-06 20:50:36 |
| ak-pynn |
0.1.8 |
A simplistic and efficient pure-python neural network library that allows to build multilayer neural network with ease. |
2023-05-28 19:44:49 |
| TriModelSystem |
0.0.2 |
Tri-Model Ensemble System for Classification |
2023-05-17 00:49:01 |
| NeuralNetPy |
0.0.5 |
NeuralNetPy is a neural network library created using numpy that allows you to create, train, and save deep learning models. |
2023-04-26 15:34:20 |
| raydl |
0.0.10 |
The library of utilities to help you deal with the deep learning in PyTorch. |
2023-04-20 16:09:26 |
| AdvancedAnalytics |
1.39 |
Python support for 'The Art and Science of Data Analytics' |
2023-03-31 00:09:38 |
| SLiM-phys |
1.0.2 |
SLiM project and its supporting scripts |
2023-03-28 20:17:17 |
| ngram-ml |
0.1.0 |
Basic python package for creating n-gram language models from text files |
2023-03-16 22:29:18 |
| autoembedder |
0.2.5 |
PyTorch autoencoder with additional embeddings layer for categorical data. |
2023-02-07 08:36:11 |
| pyaidoop |
0.7.1 |
AIdoop web-based platfrom library for robot application platform, AIdoop-R |
2023-01-30 05:41:14 |
| torchview |
0.2.5 |
Visualization of Pytorch Models |
2023-01-24 03:17:48 |
| my-torch |
0.0.13 |
A transparent boilerplate + bag of tricks to ease my (yours?) (our?) PyTorch dev time. |
2023-01-18 12:27:57 |
| deepstruct |
0.10.0 |
|
2023-01-18 11:46:06 |
| TensorTract |
0.0.1 |
TT |
2023-01-12 11:00:59 |
| TensorTractLab |
0.0.1 |
TTL |
2023-01-12 10:50:45 |