similarity_measures
TensorFlow-Examples
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| similarity_measures | TensorFlow-Examples | |
|---|---|---|
| 2 | 2 | |
| 236 | 43,200 | |
| - | - | |
| 5.4 | 0.0 | |
| 5 months ago | 3 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 or later |
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.
similarity_measures
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What exactly is Partial Curve Mapping?
The Python Implementation can be found here: https://github.com/cjekel/similarity_measures/blob/master/similaritymeasures/similaritymeasures.py
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Anyone here use the Similaritymeasures library? Why is a 2D array required?
According to the documentation the function takes two arguments (exp_data and num_data ) for the data set, which makes sense. What doesn't make sense is:
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.
What are some alternatives?
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
graphkit-learn - A python package for graph kernels, graph edit distances, and graph pre-image problem.
pyVHR - Python framework for Virtual Heart Rate
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos
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.
rmi - A learned index structure
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]
TF_JAX_tutorials - All about the fundamental blocks of TF and JAX!
models - A collection of pre-trained, state-of-the-art models in the ONNX format
single-parameter-fit - Real numbers, data science and chaos: How to fit any dataset with a single parameter
car-damage-detection - Detectron2 for car damage detection using custom dataset
entity-embed - PyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.