TensorFlow-Examples
pyVHR
TensorFlow-Examples | pyVHR | |
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3 | 1 | |
43,447 | 468 | |
- | 2.8% | |
0.0 | 4.1 | |
4 months ago | 18 days ago | |
Jupyter Notebook | HTML | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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TensorFlow-Examples
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Top Github repositories for 10+ programming languages
Tensorflow examples
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Keras vs. TensorFlow
A linear regression model
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Tensorman and RTX 30-Series GPU's
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.
pyVHR
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[PROJECT]Heart Rate Detection using Eulerian Magnification
I'm glad it helps! Here's some repositories for anyone interested: Python (have never used it but according to a labmate it works "fine"): https://github.com/phuselab/pyVHR
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.
NeuroKit - NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
eulerian-remote-heartrate-detection - Remote heart rate detection through Eulerian magnification of face videos
rmi - A learned index structure
heartbeat - Desktop implementation of Remote Photoplethysmography – Measuring heart rate using facial video.
Deep-Learning-With-TensorFlow-Blog-series - All the resources and hands-on exercises for you to get started with Deep Learning in TensorFlow [Moved to: https://github.com/Rishit-dagli/Deep-Learning-With-TensorFlow]
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
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.
fastai - The fastai deep learning library