flowtorch

所属分类:matlab编程
开发工具:Jupyter Notebook
文件大小:0KB
下载次数:0
上传日期:2023-02-17 19:19:28
上 传 者sh-1993
说明:  该库将为深度概率编程的可重用组件形成永久家园。图书馆会...
(This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a community of users and contributors by focusing initially on complete infra and documentation for how to use and create components.)

文件列表:
CHANGELOG.md (395, 2023-02-17)
CODE_OF_CONDUCT.md (3535, 2023-02-17)
CONTRIBUTING.md (1317, 2023-02-17)
LICENSE.txt (1079, 2023-02-17)
MANIFEST.in (128, 2023-02-17)
examples/ (0, 2023-02-17)
examples/learn_bivariate_normal.py (3181, 2023-02-17)
flowtorch/ (0, 2023-02-17)
flowtorch/__init__.py (111, 2023-02-17)
flowtorch/bijectors/ (0, 2023-02-17)
flowtorch/bijectors/__init__.py (3135, 2023-02-17)
flowtorch/bijectors/affine.py (959, 2023-02-17)
flowtorch/bijectors/affine_autoregressive.py (953, 2023-02-17)
flowtorch/bijectors/affine_fixed.py (1797, 2023-02-17)
flowtorch/bijectors/autoregressive.py (3197, 2023-02-17)
flowtorch/bijectors/base.py (7494, 2023-02-17)
flowtorch/bijectors/bijective_tensor.py (4749, 2023-02-17)
flowtorch/bijectors/compose.py (6949, 2023-02-17)
flowtorch/bijectors/elementwise.py (688, 2023-02-17)
flowtorch/bijectors/elu.py (1150, 2023-02-17)
flowtorch/bijectors/exp.py (983, 2023-02-17)
flowtorch/bijectors/fixed.py (1007, 2023-02-17)
flowtorch/bijectors/invert.py (2389, 2023-02-17)
flowtorch/bijectors/leaky_relu.py (1062, 2023-02-17)
flowtorch/bijectors/ops/ (0, 2023-02-17)
flowtorch/bijectors/ops/__init__.py (36, 2023-02-17)
flowtorch/bijectors/ops/affine.py (4409, 2023-02-17)
flowtorch/bijectors/ops/spline.py (3435, 2023-02-17)
flowtorch/bijectors/permute.py (2013, 2023-02-17)
flowtorch/bijectors/power.py (1572, 2023-02-17)
flowtorch/bijectors/sigmoid.py (1135, 2023-02-17)
flowtorch/bijectors/softplus.py (1105, 2023-02-17)
flowtorch/bijectors/spline.py (740, 2023-02-17)
... ...

[![](https://github.com/facebookincubator/flowtorch/workflows/Python%20package/badge.svg)](https://github.com/facebookincubator/flowtorch/actions?query=workflow%3A%22Python+package%22) Copyright Meta Platforms, Inc This source code is licensed under the MIT license found in the [LICENSE.txt](https://github.com/facebookincubator/flowtorch/blob/main/LICENSE.txt) file in the root directory of this source tree. > :warning: **Development of FlowTorch has moved**: This repo will be frozen, and development continued at [stefanwebb/flowtorch](https://github.com/stefanwebb/flowtorch). # Overview FlowTorch is a PyTorch library for learning and sampling from complex probability distributions using a class of methods called [Normalizing Flows](https://arxiv.org/abs/1908.09257). # 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 . # Further Information We refer you to the [FlowTorch website](https://flowtorch.ai) for more information about installation, using the library, and becoming a contributor. Here is a handy guide: * [What are normalizing flows?](https://flowtorch.ai/users) * [How do I install FlowTorch?](https://flowtorch.ai/users/installation) * [How do I construct and train a distribution?](https://flowtorch.ai/users/start) * [How do I contribute new normalizing flow methods?](https://flowtorch.ai/dev) * [Where can I report bugs?](https://github.com/facebookincubator/flowtorch/issues) * [Where can I ask general questions and make feature requests?](https://github.com/facebookincubator/flowtorch/discussions) * [What features are planned for the near future?](https://github.com/facebookincubator/flowtorch/projects)

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