Skip to main content

eve-mli: making learning interesting.

Project description

logo

eve-mli: making learning interesting

GitHub last commit Documentation Status PyPI PyPI - Python Version

Eve is an open-source deep learning framework used to devise and modify a network architecture in a flexible and interesting way.

We provide several jupyter notebooks under ./examples to demonstrate how to build various network structures.

The most features of Eve are that: it provides a well defined framework which make your network structure can be upgraded along with the learning of weights.

Any contributions to Eve is welcome!

Installation

Install from PyPI:

pip install eve-mli
# pip install git+git@github.com:densechen/eve-mli.git

Developers can download and install the latest version from:

GitHub:

git clone https://github.com/densechen/eve-mli.git
cd eve-mli
python setup.py install

Gitee:

git clone https://gitee.com/densechen/eve-mli.git
cd eve-mli
python setup.py install

Vailidate installation:

python -c "import eve; print(eve.__version__)"

About the project

The documentation can be found here. (Auto-building of documentation fails sometimes, you can build it manually via cd docs; make html).

The project remains in development. We encourage more volunteers to come together!

The first official version of eve-mli will be released very soon.

About the authors

Dengsheng Chen Master @ National University of Defense Technology densechen@foxmail.com

References

PyTorch

stable-baselines3

spikingjelly

Model-Compression-Deploy

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eve-mli-0.1.0.tar.gz (138.8 kB view details)

Uploaded Source

Built Distribution

eve_mli-0.1.0-py3-none-any.whl (174.8 kB view details)

Uploaded Python 3

File details

Details for the file eve-mli-0.1.0.tar.gz.

File metadata

  • Download URL: eve-mli-0.1.0.tar.gz
  • Upload date:
  • Size: 138.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.55.2 CPython/3.8.5

File hashes

Hashes for eve-mli-0.1.0.tar.gz
Algorithm Hash digest
SHA256 6d75cc8d46d0727c8734ce59b974bdf5d49acdad70b97ab911e0ff57d1fe84a2
MD5 2af69be79a5e80c57f4a887b7cdb3865
BLAKE2b-256 1983f547ac4801bd5f0854d9a7b04c9fd44c1bb1d55f34e11fed72665367c67c

See more details on using hashes here.

File details

Details for the file eve_mli-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: eve_mli-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 174.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.25.1 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.55.2 CPython/3.8.5

File hashes

Hashes for eve_mli-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6fa1bc03388c8bc80cd02a6aa2ea84651888158281101cb94ab63995821b829e
MD5 267ad3082fceff6df8cda04451ce3dfa
BLAKE2b-256 107a8c7b5fc070cf9c94d291410f8306046b875bc806df46e4857a0715ab81b2

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page