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π€ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Best Practices, code samples, and documentation for Computer Vision.
Image restoration with neural networks but without learning.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
γγΌγγγδ½γ Deep Learningγ(O'Reilly Japan, 2016)
IPython kernel for Torch with visualization and plotting
Models and examples built with Swift for TensorFlow
This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.
A set of notebooks explaining swift for tensorflow optimized to run in Google Collaboratory.
Source Code and Model for DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
