semvec/pypi-packages huggingface dataset:
nvflare-nightly 1.1.0.dev211220
Federated Learning Application Runtime Environment
Requires Python: >=3.8

**NV**IDIA **F**ederated **L**earning **A**pplication **R**untime **E**nvironment


[NVIDIA FLARE](https://nvidia.github.io/NVFlare) enables researchers to collaborate and build AI models without sharing private data. 

NVIDIA FLARE is a standalone python library designed to enable federated learning amongst different parties using their local secure protected data for client-side training, at the same time it includes capabilities to coordinate and exchange progressing of results across all sites to achieve better global model while preserving data privacy. The participating clients can be in any part of the world. 

NVIDIA FLARE builds on a flexible and modular architecture and is abstracted through APIs allowing developers & researchers to customize their implementation of functional learning components in a Federated Learning paradigm. 

Learn more - [NVIDIA FLARE](https://nvidia.github.io/NVFlare).


## Installation

To install [the current release](https://pypi.org/project/nvflare), you can simply run:

```bash
pip install nvflare
```

## Third party license

See 3rdParty folder for their license files.
ee-cli 1.1.3
A salve for timesmiths
Requires Python: >=3.6.1,<4.0.0

# epoch-echo

A minimal command line alternative to tools like [this](https://www.epochconverter.com).

Copypasta your machine-flavored datetimes from the db or whatever into the `ee`  and ahhhh 😌 a nice human date right there for you in 0 clicks 🌚. Pass a whole long list of some ridiculous mixture of epoch timestamps and readable datetimes and witness 🙀 the grand switcharoo 🎠

Built with ✨and [typer](https://github.com/tiangolo/typer).

## About

Born from the grumblings of a crunchy shell-dweller, `ee-cli` is designed to fit nicely in a terminal-heavy workflow with tools like [tmux](https://github.com/tmux/tmux/wiki), [hub](https://github.com/github/hub), [fzf](https://github.com/junegunn/fzf), etc. Those tools and their peers inspired `ee` greatly.

`ee` stands for "epoch echo" because that's sort of what the tool does.

`ee` takes any arbitrary combination of  epoch timestamps, datetimes, times, dates, etc, and prints them back as the opposite. `ee` uses [pendulum](https://pendulum.eustace.io) for these conversions.

By default, `ee` supports input from the [same datetime formats](https://pendulum.eustace.io/docs/#tokens) as `pendulum.parse`, plus the conveniences of "now," "tomorrow," "today," and "yeterday."

More input formats can be used by setting the `EXTRA_DATETIME_INPUT_FORMATS` environment variable to a json array of [these tokens](https://pendulum.eustace.io/docs/#tokens) in pendulum

## Installation

This is a Python project, so you install it from pip.

```shell
pip install ee-cli
```

The executable is `ee`

```shell
ee  # display help and list commands
```

# Usage

Basic: Convert a list of datetimes, output it to the clipboard.

![](./ee.svg)

Interactive: Use the repl to curate a list of converted datetimes, view help, send to clipboard, and more!

![](./repl.svg)

Images generated with [termtosvg](https://github.com/nbedos/termtosvg).

See [USAGE.md](./USAGE.md) for more.