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Simpleflow

A simple TensorFlow-like graph computation framework in Python for learning purpose

Install / Use

/learn @PytLab/Simpleflow
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

SimpleFlow

A simple TensorFlow-like graph computation framework in Python for learning purpose

Quick Start

import simpleflow as sf

# Create a graph
with sf.Graph().as_default():
    a = sf.constant(1.0, name='a')
    b = sf.constant(2.0, name='b')
    result = sf.add(a, b, name='a+b')

    # Create a session to run the graph 
    with sf.Session() as sess:
        print(sess.run(result))

Examples

Features

  • [x] Computational Graph
  • [x] Feed forward propagation
  • [x] Backpropagation
  • [x] GradientDescent Optimizer
  • [x] Linear Regression Example
  • [ ] MNIST classification Example

Blogs

Related Skills

View on GitHub
GitHub Stars200
CategoryEducation
Updated1y ago
Forks51

Languages

Python

Security Score

80/100

Audited on Apr 6, 2025

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