Human-pose-estimation VS TensorFlow-Examples

Compare Human-pose-estimation vs TensorFlow-Examples and see what are their differences.

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Human-pose-estimation TensorFlow-Examples
1 2
4 43,200
- -
0.0 0.0
almost 2 years ago 3 months ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only GNU General Public License v3.0 or later
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Human-pose-estimation

Posts with mentions or reviews of Human-pose-estimation. 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 Human-pose-estimation and TensorFlow-Examples you can also consider the following projects:

learnopencv - Learn OpenCV : C++ and Python Examples

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

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

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

pytorch-openpose - pytorch implementation of openpose including Hand and Body Pose Estimation.

pyVHR - Python framework for Virtual Heart Rate

qc-tutorial - Komprehenzivni uvod u svijet kvantnog računarstva na srpskom jeziku

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

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.

tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

rmi - A learned index structure