erutils 1.3.1

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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

MIT

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

• @erfanzar