KyuuRyuu is a Python library designed to simplify the process of working with TensorFlow and Keras for machine learning tasks.
Project description
KyuuRyuu
From japanese 急流 meaning "rapid stream" or "swift current" aka "fast (Tensor)flow".
Overview
KyuuRyuu is a Python library designed to simplify the process of working with TensorFlow and Keras for machine learning tasks. It provides convenient utilities for data loading, preprocessing, building models, training, evaluation, and visualization.
Features
- Seamless integration with TensorFlow and Keras.
- Simplified data loading and preprocessing pipelines.
- Support for various data formats, including CSV, JSON, and image datasets.
- Flexible model creation and customization.
- Built-in visualization tools for monitoring training progress and model performance.
- Extensive documentation and examples for easy usage.
Dependencies
- TensorFlow
- Keras
- NumPy
- Pandas
- Matplotlib
- Seaborn
Installation
To install KyuuRyuu, simply use pip:
pip install kyuuryuu
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file kyuuryuu-0.1.tar.gz.
File metadata
- Download URL: kyuuryuu-0.1.tar.gz
- Upload date:
- Size: 1.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ecd5f67dae4cf6eb9dbf285891b5d8e37550739582e5602ee4038127b78b6f1b
|
|
| MD5 |
ff4ad55d788aafe62c1a674287002c50
|
|
| BLAKE2b-256 |
9894dfcf41bec9b0a5e82633ff8f6eda0342dcc6db139c0110ebceb86dc682bc
|
File details
Details for the file KyuuRyuu-0.1-py3-none-any.whl.
File metadata
- Download URL: KyuuRyuu-0.1-py3-none-any.whl
- Upload date:
- Size: 1.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.0 CPython/3.12.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3c704fdf5183bf10da923e0b59e358c202634a788a878d585c56609248cef9d0
|
|
| MD5 |
110e872a7a8e00e7089f4d1896969226
|
|
| BLAKE2b-256 |
3f45a37f0bf6ca39f79d964f5998d683575ba3ecf3cc8828d591d95501c60c65
|