pomegranate VS TensorFlow-Examples

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

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) (by aymericdamien)
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pomegranate TensorFlow-Examples
2 2
3,258 43,210
- -
6.4 0.0
about 2 months ago 3 months ago
Python 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.

pomegranate

Posts with mentions or reviews of pomegranate. We have used some of these posts to build our list of alternatives and similar projects.

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

nautilus_trader - A high-performance algorithmic trading platform and event-driven backtester

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

vscode-calva-setup - My VS Code / Calva / Portal / Joyride setup

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

pandarallel - A simple and efficient tool to parallelize Pandas operations on all availableĀ CPUs

pyVHR - Python framework for Virtual Heart Rate

spaCy - šŸ’« Industrial-strength Natural Language Processing (NLP) in Python

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

madmom - Python audio and music signal processing library

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.

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

rmi - A learned index structure