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gianlucabertani avatar

gianlucabertani/MAChineLearning

0
View on GitHub↗
37 stars·8 forks·Objective-C·BSD-3-Clause·2 views

MAChineLearning

Machine Learning for the Mac

Features

  • Deep Learning Frameworks - Multilayer perceptron library with backpropagation support.

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Frequently asked questions

What does gianlucabertani/machinelearning do?

Machine Learning for the Mac

What are the main features of gianlucabertani/machinelearning?

The main features of gianlucabertani/machinelearning are: Deep Learning Frameworks.

What are some open-source alternatives to gianlucabertani/machinelearning?

Open-source alternatives to gianlucabertani/machinelearning include: alankbi/detecto — Build fully-functioning computer vision models with PyTorch. albu/albumentations — Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for… alrojo/tensorflow-tutorial — Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE. amznlabs/amazon-dsstne — Amazon DSSTNE is a machine learning toolkit and sparse tensor network library designed for deep learning models with… andersbll/deeppy — Deep learning in Python. 5vision/darqn — Deep Attention Recurrent Q-Network.

Open-source alternatives to MAChineLearning

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  • alankbi/detectoalankbi avatar

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  • albu/albumentationsalbu avatar

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    Albumentations is an image augmentation library and computer vision preprocessing tool designed to expand datasets for deep learning models. It provides a collection of transformations that modify pixel values and spatial geometry to increase the diversity of training samples and improve model generalization. The library supports both 2D image augmentation and 3D volumetric data augmentation. It handles a variety of labels alongside images, ensuring that bounding boxes, keypoints, and segmentation masks remain accurately aligned when spatial transformations are applied. The tool incorporates

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  • alrojo/tensorflow-tutorialalrojo avatar

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  • 5vision/darqn5vision avatar

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See all 30 alternatives to MAChineLearning→