semvec/pypi-packages huggingface dataset:
torchblocks-chen 1.0.1.10
A PyTorch-based toolkit for natural language processing
License: MIT
Requires Python: >=3.6.0
Keywords: NLP deep learning transformer pytorch BERT

## TorchBlocks

A PyTorch-based toolkit for natural language processing


### Requirements

- transformers>=4.1.1
- torch>=1.6.0

TorchBlocks requires Python 3.6+. We recommend installing TorchBlocks in a Linux or OSX environment.

### Installation

Recommended (because of active development):

```shell
git clone https://github.com/situqingyun/torchblocks-chen.git
cd TorchBlocks
python setup.py install
```

### Tutorials

* Tutorial 1 (text classification): [task_text_classification_cola.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_text_classification_cola.py)
* Tutorial 2 (siamese similarity): [task_siamese_similarity_afqmc.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_siamese_similarity_afqmc.py)
* Tutorial 3 (sequence labeling): [task_sequence_labeling_ner_crf.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_sequence_labeling_ner_crf.py)
* Tutorial 4 (sentence similarity): [task_sentence_similarity_lcqmc.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_sentence_similarity_lcqmc.py)
* Tutorial 5 (triple similarity): [task_triple_similarity_epidemic.py](https://github.com/lonePatient/TorchBlocks/blob/master/examples/task_triple_similarity_epidemic.py)
* Example scripts for each task: [TorchBlocks/examples/](https://github.com/lonePatient/TorchBlocks/tree/master/examples)
pypassman 0.0.1
Python Password Manager
License: MIT
Requires Python: >=3.6

# Python Password Safe

**Python Password Safe** is a simple password manager CLI tool written in Python.

**Python Password Safe** allows you to save an encrypted list of username-password entries organized into different groups of your making. All you have to do is create and remember one master PIN number in order to unlock your password safe.



## Getting Started

### Installation

```
# Using PyPI
pip3 install py-pwsafe
```

### Running the program

```
pypwsafe
```