Antonio Rueda-Toicen (andandandand)

andandandand

Geek Repo

Company:AI Service Center, Hasso Plattner Institute

Location:Berlin, Germany

Home Page:www.digital-spaceti.me

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Antonio Rueda-Toicen's repositories

ImageSegmentationOnlineCourse

Online course on modern image segmentation techniques

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Kaggle-Carvana-3rd-Place-Solution

3rd place solution ( Carvana Image Masking Challenge )

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ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

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natural-language-processing

Resources for "Natural Language Processing" Coursera course.

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python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

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pytorch-examples

Simple examples to introduce PyTorch

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PyTorchAndFastAISetupGoogleCloud

Setting up PyTorch 1.0 and Fast.ai on the Google Cloud Platform

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course-v3

The 3rd edition of course.fast.ai - coming in 2019

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darts

Differentiable architecture search for convolutional and recurrent networks

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GSS-Income

Ongoing project where I evaluated the underlying factors of income in the United States

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hyperopt-sklearn

Hyper-parameter optimization for sklearn

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img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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python-gapminder

Introduction to Python for non-programmers using gapminder data

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PyTorch-Deep-Learning-Minicourse

Minicourse in Deep Learning with PyTorch

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Pytorch-UNet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

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pytorch-unet-1

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

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scalabel

Quantify computer vision performance in human terms

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tf_unet

Generic U-Net Tensorflow implementation for image segmentation

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