This source code is licensed under the MIT license found in the LICENSE.txt file in the root directory of this source tree.

Overview

FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called Normalizing Flows.

Installing

An easy way to get started is to install from source:

git clone https://github.com/facebookincubator/flowtorch.git
cd flowtorch
pip install -e .

We refer you to the FlowTorch website for more information about installation, using the library, and becoming a contributor. Here is a handy guide:

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for flowtorch 0.8
File	Size	Uploaded
flowtorch-0.8.tar.gz	264.2 kB	Apr 27, 2022	Details

Table of built distributions (wheels) for flowtorch 0.8
File	Interpreter	ABI	Platform	Reset
flowtorch-0.8-py3-none-any.whl 41.8 kB Apr 27, 2022	Python 3	none	any	Details

Total release size: 306.0 kB

Download URL	flowtorch-0.8.tar.gz
Size	264.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`8c0c7a94d6c01f299f07da932830ed22c37966bc500a789e8709335fb2721ad5`
BLAKE2b-256 checksum How to use checksums	`5aacc6527619b342a8d7bf5dd82c1d49c750946c2512ebe66187c81c143fcfa0`
Upload date	Apr 27, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.0 CPython/3.9.12`

Download URL	flowtorch-0.8-py3-none-any.whl
Size	41.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`d0fd7576c83cfcfc7191f3dc972390b9fe7e49db14891489fcd22f4a5b644c11`
BLAKE2b-256 checksum How to use checksums	`9348b5ef6c3e33a70a199a56a3bf0a5618f7794905e364c3e661e4d838c5352a`
Upload date	Apr 27, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.0 CPython/3.9.12`