| Name | Version | Summary | date |
| multivision |
0.1.9 |
Create Object Segmentation Labels |
2023-12-19 12:41:54 |
| splitdataloader |
0.0.1 |
A simple library to load training data from hdd or ssd |
2023-12-09 11:37:13 |
| autolabel4seg |
0.0.4 |
Create Object Segmentation Labels |
2023-12-07 08:11:29 |
| mypackage-falahgs |
1.1.1 |
Create Object Segmentation Labels |
2023-12-05 14:57:19 |
| falahgsauto |
1.3.4 |
Create Object Segmentation Labels |
2023-12-05 14:17:48 |
| fastdatasets |
0.9.17 |
fastdatasets: datasets for tfrecords |
2023-10-28 04:01:06 |
| ml-git |
2.9.9 |
ML-Git: version control for ML artefacts |
2023-10-03 20:56:21 |
| smashed |
0.21.5 |
SMASHED is a toolkit designed to apply transformations to samples in datasets, such as fields extraction, tokenization, prompting, batching, and more. Supports datasets from Huggingface, torchdata iterables, or simple lists of dictionaries. |
2023-09-22 17:52:24 |
| sylloge |
0.2.1 |
Small library to simplify collecting and loading of entity alignment benchmark datasets |
2023-09-08 14:41:25 |
| deeplite-torch-zoo |
2.0.2 |
The deeplite-torch-zoo package is a collection of popular pretrained deep learning models and their datasets for PyTorch framework. |
2023-08-30 01:03:14 |
| scikit-datasets |
0.2.4 |
Scikit-learn-compatible datasets |
2023-08-08 14:02:18 |
| datahammer |
1.0.3 |
This module provides an easy way to manipulate and inspect lists of data. It was designed to handle plain data types, especially the output from parsing JSON. It allows simple operations to be done on the items in parallel in a concise fashion. Many features will also work on other data types. |
2023-08-05 02:15:35 |
| corus |
0.10.0 |
Links to russian corpora, functions for loading and parsing |
2023-07-24 08:54:26 |
| TextClassification |
0.2.4 |
Create Text Classification Fine-Tunning Model |
2023-07-18 09:48:30 |
| survival-datasets |
0.1.5 |
Data loader for common datasets in Survival Analysis. |
2023-07-06 13:12:17 |
| sinkove |
0.0.2 |
Library for interacting with Sinkove datasets |
2023-07-03 23:28:45 |
| dsrl |
0.1.0 |
Datasets for Offline Safe Reinforcement Learning |
2023-06-14 05:08:20 |
| torch-conduit |
0.3.5 |
Lightweight framework for dataloading with PyTorch and channeling the power of PyTorch Lightning |
2023-06-07 13:35:52 |
| hsuanwuhub |
0.0.1b2 |
Model Hub of the Long-Term Evolution Project of Reinforcement Learning |
2023-05-12 08:50:48 |
| adept-augmentations |
0.1 |
A Python library aimed at adeptly, augmenting NLP training data. |
2023-05-08 09:10:03 |