Erutils
The Erutils package includes a collection of utilities and pre-built neural networks that I frequently use in my personal projects. While this package is mainly for my personal use, others may find it useful as well.
Installation
You can install Erutils using pip:
pip install erutils
Open erfan zare Github
Open Package Github
🚀 APIs and Usages
import erutils
from erutils.loggers import *
# Loggers contain Logging stuff
from erutils.nn import *
# NN contain Nural networks built in Pytorch
# you can easily import erutils.nn and use many prebuilt neurons in the project
# if you thing any refrence should be added tell me in discussion
from erutils.lightning import *
# Lightning Contain Some CV Packages
from erutils.utils import *
# Utils Contain Some Utils like reading files downloading and etc ...
Neural Networks
Erutils includes a diverse collection of over 80 pre-built neural networks that cover a wide range of applications, such as natural language processing, computer vision, and more. Some of the neural networks included are:
- Transformers: Customized transformer encoder and decoder layers for natural language processing tasks and a lot of customized Layers like RoEmbedding ...
- Feed-forward networks: Customized feed-forward layers for various applications
- Custom CNN backbones: A variety of pre-built CNN backbones for computer vision tasks, such as ResNet, VGG, and more
- Object Detection: Pre-built networks for object detection and localization, including YOLOv5, RetinaNet, and Faster R-CNN
- Custom CNN architectures: Custom CNN architectures designed for specific applications, such as image classification, segmentation, and more.
🚀 About Me
Hi there 👋 I like to train deep neural nets on large datasets 🧠. Among other things in this world:)
License
Contributing
While this package is mainly for my personal use, contributions and suggestions are welcome. If you find a bug or have an idea for a new feature, please open an issue on the GitHub repository.
Used By
Private Project
Author
1 maintainer
Release files for erutils 1.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| erutils-1.4.0.tar.gz | 31.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| erutils-1.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 62.0 kB
Release files / erutils-1.4.0.tar.gz
| Download URL | erutils-1.4.0.tar.gz |
|---|---|
| Size | 31.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.64.1 urllib3/1.26.16 CPython/3.10.6
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Release files / erutils-1.4.0-py3-none-any.whl
| Download URL | erutils-1.4.0-py3-none-any.whl |
|---|---|
| Size | 30.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 colorama/0.4.4 importlib-metadata/4.6.4 keyring/23.5.0 pkginfo/1.8.2 readme-renderer/34.0 requests-toolbelt/0.9.1 requests/2.31.0 rfc3986/1.5.0 tqdm/4.64.1 urllib3/1.26.16 CPython/3.10.6
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