TensorFlow-Tutorials VS TensorFlow-Examples

Compare TensorFlow-Tutorials vs TensorFlow-Examples and see what are their differences.

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TensorFlow-Tutorials TensorFlow-Examples
2 2
9,250 43,210
- -
0.0 0.0
over 3 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TensorFlow-Tutorials

Posts with mentions or reviews of TensorFlow-Tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-20.

TensorFlow-Examples

Posts with mentions or reviews of TensorFlow-Examples. We have used some of these posts to build our list of alternatives and similar projects.
  • Keras vs. TensorFlow
    1 project | dev.to | 6 Jun 2021
    A linear regression model
  • Tensorman and RTX 30-Series GPU's
    1 project | /r/pop_os | 19 Mar 2021
    When I run this simple project, the log output is below. There is a 5-minute pause at 16:48. There is a second pause at the end of the script before the output of the example (final output excluded). This project runs quickly if I exclude "--gpu" and run it on the CPU.

What are some alternatives?

When comparing TensorFlow-Tutorials and TensorFlow-Examples you can also consider the following projects:

car-damage-detection - Detectron2 for car damage detection using custom dataset

lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)

YOLO_Object_Detection - This is the code for "YOLO Object Detection" by Siraj Raval on Youtube

graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.

Practical_RL - A course in reinforcement learning in the wild

pyVHR - Python framework for Virtual Heart Rate

m1-machine-learning-test - Code for testing various M1 Chip benchmarks with TensorFlow.

Deep-Learning-Hardware-Benchmark - This repository contains the proposed implementation for benchmarking in order to evaluate whether a setup of hardware is feasible for deep learning projects.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

rmi - A learned index structure

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]