TensorFlow-Examples VS entity-embed

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

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) (by aymericdamien)
Tensorflow Tutorial Examples Deep Learning Python Machine Learning
Source Code
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entity-embed

PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors. (by vintasoftware)
entity-resolution record-linkage representation-learning Embeddings approximate-nearest-neighbors Deduplication entity-matching data-matching Deep Learning Python Pytorch
Source Code
entity-embed.readthedocs.io
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TensorFlow-Examples entity-embed
2 2
43,210 138
- 0.0%
0.0 0.0
3 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 or later MIT License
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-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.

entity-embed

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

What are some alternatives?

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

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

dblink - Distributed Bayesian Entity Resolution in Apache Spark

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

splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

pyVHR - Python framework for Virtual Heart Rate

fastai - The fastai deep learning library

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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.

JedAIToolkit - An open source, high scalability toolkit in Java for Entity Resolution.

rmi - A learned index structure

record-linkage-resources - Resources for tackling record linkage / deduplication / data matching problems

TensorFlow-Examples vs lego-mindstorms entity-embed vs dblink TensorFlow-Examples vs graphkit-learn entity-embed vs splink TensorFlow-Examples vs pyVHR entity-embed vs fastai TensorFlow-Examples vs TensorFlow-Tutorials entity-embed vs Made-With-ML TensorFlow-Examples vs Deep-Learning-Hardware-Benchmark entity-embed vs JedAIToolkit TensorFlow-Examples vs rmi entity-embed vs record-linkage-resources