TensorFlow-Examples
graphkit-learn
TensorFlow-Examples | graphkit-learn | |
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3 | 1 | |
43,447 | 123 | |
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0.0 | 7.8 | |
4 months ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
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.
graphkit-learn
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[R][P] graphkit-learn: A Python Library for Graph Kernels Based on Linear Patterns
library link: https://github.com/jajupmochi/graphkit-learn
What are some alternatives?
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shap - A game theoretic approach to explain the output of any machine learning model.
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
DataDrivenDynSyst - Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
pyVHR - Python framework for Virtual Heart Rate
prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
rmi - A learned index structure
global-chem - A Knowledge Graph of Common Chemical Names to their Molecular Definition
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]
crem - CReM: chemically reasonable mutations framework
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.
auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!