learning-machine VS TensorFlow-Examples

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

learning-machine

A handbook for ML built on answers. (by rentruewang)

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) (by aymericdamien)
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learning-machine TensorFlow-Examples
10 2
486 43,200
- -
0.0 0.0
3 months ago 3 months ago
Python Jupyter Notebook
Apache License 2.0 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.

learning-machine

Posts with mentions or reviews of learning-machine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-10.

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 learning-machine and TensorFlow-Examples you can also consider the following projects:

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

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

pyVHR - Python framework for Virtual Heart Rate

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.

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

rmi - A learned index structure

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]

TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!

models - A collection of pre-trained, state-of-the-art models in the ONNX format

single-parameter-fit - Real numbers, data science and chaos: How to fit any dataset with a single parameter

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

entity-embed - PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.