Eve: Making Learning Interesting
Eve is an open-source deep learning framework used to devise various architectures in a more flexible and interesting way.
We provide a jupyter notebook to show the basic usage and the advanced features of Eve in ./examples.
Any contributions to Eve is welcome!
Installation
Install from PyPI:
pip install eve-ml
Developers can download and install the latest version from GitHub:
git clone https://github.com/densechen/eve.git
cd eve
python setup.py install
About the project
This project is mainly based on PyTorch and stable-baselines3. eve.Cores.Eve succeeds torch.nn.Module and keeps all the features of latter. We design a Trainer to maintain training process and further wrapper it as a gym.envs to play with reinforcement learning.
The documentation of Eve can be found here.
About the authors
Dengsheng Chen Master @ National University of Defense Technology densechen@foxmail.com
The project remains in development. We encourage more volunteers to come together, and make learning more interesting!
Metadata
Release files for Eve-ml 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Eve-ml-0.0.1.tar.gz | 56.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Eve_ml-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 124.2 kB
Release files / Eve-ml-0.0.1.tar.gz
| Download URL | Eve-ml-0.0.1.tar.gz |
|---|---|
| Size | 56.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0678d10088b55c8226f00a6dc5a0d0eaaf622adabbff0822c198836dbf879b9b
|
|
BLAKE2b-256 checksum How to use checksums |
c43d9e516006cddb4cb69b61011a179c0dc155ca52b66332a7b070d4157060c7
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
|
Release files / Eve_ml-0.0.1-py3-none-any.whl
| Download URL | Eve_ml-0.0.1-py3-none-any.whl |
|---|---|
| Size | 67.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4d4284999a867221d79b7cfe05c43b76037cbb19e7cf987bffc3417b7ed354a5
|
|
BLAKE2b-256 checksum How to use checksums |
9090573b9d6aed83491588f92f03540efe554ef3ba8a49246117945bf2333973
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.25.0 setuptools/51.0.0.post20201207 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.8.5
|