MLB-Pitch-Identification-with-ML VS computervision-recipes

Compare MLB-Pitch-Identification-with-ML vs computervision-recipes and see what are their differences.

MLB-Pitch-Identification-with-ML

Identify the name of a pitch being thrown using a machine learning model. (by jakeenea51)
Data Science Machine Learning baseball-analytics Dashboard Streamlit Webapp
Source Code
mlbpitch.streamlit.app
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computervision-recipes

Best Practices, code samples, and documentation for Computer Vision. (by microsoft)
Machine Learning Computer Vision Deep Learning Python jupyter-notebook operationalization Kubernetes Azure Microsoft Data Science Tutorial Artificial intelligence image-classification Image processing similarity object-detection convolutional-neural-networks

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MLB-Pitch-Identification-with-ML computervision-recipes
1 1
5 9,115
- -
0.0 3.9
over 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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MLB-Pitch-Identification-with-ML

Posts with mentions or reviews of MLB-Pitch-Identification-with-ML. We have used some of these posts to build our list of alternatives and similar projects.

computervision-recipes

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

What are some alternatives?

When comparing MLB-Pitch-Identification-with-ML and computervision-recipes you can also consider the following projects:

python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource

fastdup - fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.

ststats - UK Specialty Training Stats

smletsexchangeconnector - SMLets PowerShell based Exchange Connector for controlling Microsoft System Center Service Manager 2016+

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

mfp-wrapped - Data app to provide analytics for myfitnesspal users: a calorie counter and food journal

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

VIAME - Video and Image Analytics for Multiple Environments

sod - An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

opencv - Experimenting using Machine Vision OpenCV and Python to create software suitable for driving a Golf launch monitor similar to technology like SkyTrak, GC2 and GC Quad

synthetic-dataset-object-detection - How to Create Synthetic Dataset for Computer Vision (Object Detection) (Article on Medium)

MLB-Pitch-Identification-with-ML vs python-machine-learning-book computervision-recipes vs fastdup MLB-Pitch-Identification-with-ML vs ststats computervision-recipes vs smletsexchangeconnector MLB-Pitch-Identification-with-ML vs Made-With-ML computervision-recipes vs Deep-Learning-Computer-Vision MLB-Pitch-Identification-with-ML vs mfp-wrapped computervision-recipes vs One-Piece-Image-Classifier computervision-recipes vs VIAME computervision-recipes vs sod computervision-recipes vs opencv computervision-recipes vs synthetic-dataset-object-detection