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SCARM VS TFlearn

Compare SCARM VS TFlearn and see what are their differences

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RealityMAX is the most powerful free 3D design collaboration platform, 100% online. Cooperate remotely with your colleagues on 3D projects and easily share your work with clients. Create Web3D and AR experiences in a snap, without a line of code. featured
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SCARM logo SCARM

Simple Computer Aided Railway Modeller

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • SCARM Landing page
    Landing page //
    2019-10-31
Not present

SCARM videos

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SCARM Model Trains Simulator PE - Session #1

More videos:

  • Review - SCARM Model Trains Simulator - Gravity simulation
  • Review - My Hornby OO SCARM Layout, Hornby Trains, Bachmann Trains, Skaledale Buildings

TFlearn videos

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Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Category Popularity

0-100% (relative to SCARM and TFlearn)

SCARM

TFlearn

Architecture
100 100%
Architecture
0% 0
OCR
0 0%
OCR
100% 100
CRM
100 100%
CRM
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using SCARM and TFlearn. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, TFlearn seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SCARM mentions (0)

We have not tracked any mentions of SCARM yet. Tracking of SCARM recommendations started around Mar 2021.

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago

What are some alternatives?

When comparing SCARM and TFlearn, you can also consider the following products

RailModeller - RailModeller is a new application for creating model railroad and slot car layouts.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

AnyRail - AnyRail makes model railroad design so easy, it's fun!

Clarifai - The World's AI

TrainCad - Freeware Microsoft Windows program for designing model railroad layouts using standard tracks.

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

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