Traffic-Lights-Classification-CNN VS machine-learning-experiments

Compare Traffic-Lights-Classification-CNN vs machine-learning-experiments and see what are their differences.

Traffic-Lights-Classification-CNN

Coding and testing a convolutional neural network for classifying traffic lights, with Keras and Tensorflow, using LISA dataset. (by RomeroRodriguezD)
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Traffic-Lights-Classification-CNN machine-learning-experiments
1 8
0 1,607
- -
10.0 2.6
over 1 year ago 5 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
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Traffic-Lights-Classification-CNN

Posts with mentions or reviews of Traffic-Lights-Classification-CNN. We have used some of these posts to build our list of alternatives and similar projects.

machine-learning-experiments

Posts with mentions or reviews of machine-learning-experiments. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Traffic-Lights-Classification-CNN and machine-learning-experiments you can also consider the following projects:

examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Torrent-To-Google-Drive-Downloader-v3 - Simple notebook to stream torrent files to Google Drive using Google Colab and python3.

embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

osumapper - An automatic beatmap generator using Tensorflow / Deep Learning.

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

data-analytics-project-template - A python project starter template for data-analytics and data-science.

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

lucid - A collection of infrastructure and tools for research in neural network interpretability.

Hands-On-Meta-Learning-With-Python - Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Colab-Crypto-Mining - Cryptocurrency Mining Experiments on Google CoLab Notebooks