Deep-Learning-Push-Up-Counter VS YPDL-Build-a-movie-recommendation-engine-with-TensorFlow

Compare Deep-Learning-Push-Up-Counter vs YPDL-Build-a-movie-recommendation-engine-with-TensorFlow and see what are their differences.

Deep-Learning-Push-Up-Counter

Deep Learning approach to count the number of repetitions in a video of push ups or pull ups. (by NetoPedro)

YPDL-Build-a-movie-recommendation-engine-with-TensorFlow

In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users. (by IBMDeveloperMEA)
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Deep-Learning-Push-Up-Counter YPDL-Build-a-movie-recommendation-engine-with-TensorFlow
1 1
26 8
- -
1.8 0.0
almost 4 years ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Deep-Learning-Push-Up-Counter

Posts with mentions or reviews of Deep-Learning-Push-Up-Counter. We have used some of these posts to build our list of alternatives and similar projects.
  • Counting repetitions in a video
    1 project | /r/computervision | 29 Apr 2021
    Hi ! I am currently working on a project which involves the recognition of tennis strokes in videos. I have already implemented the detection part using a pre-trained OpenPose model to find the body keypoints and an LSTM for the classification task. Now I am having some trouble counting those movements. I have seen various approaches, but I would like something lightweight, somehow related to this specific task. Here is a project which uses optical flows to detect patterns in the movements, but a tennis stroke is a more complex action and I don't know how to label the frames (swing, not swing maybe). Another solution would be to use the already computed keypoints to compute some angles, but I didn't find something related to tennis. Thank you!

YPDL-Build-a-movie-recommendation-engine-with-TensorFlow

Posts with mentions or reviews of YPDL-Build-a-movie-recommendation-engine-with-TensorFlow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-02.

What are some alternatives?

When comparing Deep-Learning-Push-Up-Counter and YPDL-Build-a-movie-recommendation-engine-with-TensorFlow you can also consider the following projects:

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data

Practical_RL - A course in reinforcement learning in the wild

DenseDepth - High Quality Monocular Depth Estimation via Transfer Learning

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

garrascobike-core - Core of the Garrascobike project

Machine_Learning_and_Deep_Learning_models - Repository containing models based on ideas of Machine learning and Deep learning

Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow - Identify Handwritten Digits using CNN with TensorFlow

YPDL-Recurrent-Neural-Networks-using-TensorFlow-Keras - Build a recurrent neural network using TensorFlow and Keras.

YourPathToDeepLearning - Sequel to our infamous Your Path to AI Series. We are introducing this new advanced level series for audience interested to specialise in Deep Learning. This repository holds all the resources for the series for you to catch up in case you have missed it.