Antonio Rueda-Toicen's repositories
ImageSegmentationOnlineCourse
Online course on modern image segmentation techniques
Kaggle-Carvana-3rd-Place-Solution
3rd place solution ( Carvana Image Masking Challenge )
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.
natural-language-processing
Resources for "Natural Language Processing" Coursera course.
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
pytorch-examples
Simple examples to introduce PyTorch
PyTorchAndFastAISetupGoogleCloud
Setting up PyTorch 1.0 and Fast.ai on the Google Cloud Platform
GSS-Income
Ongoing project where I evaluated the underlying factors of income in the United States
hyperopt-sklearn
Hyper-parameter optimization for sklearn
img2vec
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
python-gapminder
Introduction to Python for non-programmers using gapminder data
PyTorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch
Pytorch-UNet
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
pytorch-unet-1
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
scalabel
Quantify computer vision performance in human terms
tf_unet
Generic U-Net Tensorflow implementation for image segmentation