Javier

pytorch-widedeep. A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

LightGBM-with-Focal-Loss. An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

RecoTour. A tour through recommendation algorithms in python [IN PROGRESS]

Wide-and-Deep-Keras. Keras implementation of Tensorflow's Wide and Deep Algorithm

ml-pipeline. Using Kafka-Python to illustrate a ML production pipeline

tabulardl-benchmark. Benchmark tabular Deep Learning models against each other and other non-DL techniques

nlp-stuff. A bit of everything about text and nlp [IN PROGRESS]

Shoe-Shape-Classifier. Using the shape context algorithm to classify shoe shapes

neural_cf. Comparing keras, pytorch and gluon using neural collaborative filtering

infinitoml. Jupyter Notebook

pytorch-tutorial-pydata-cambridge. Content of the presentation at the PyData meetup in Cambridge

Topic_Modelling_and_Self_Organizing_Maps. Topic modelling (Latent Dirichlet Allocation) and Self Organizing Maps (in python and R)

tfidf-searcher. Simple tf-idf searcher in R

workshop_milan18. Mild introduction to computer vision and NLP with Keras

saint. The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

deep-learning-with-python-notebooks. Jupyter notebooks for the code samples of the book "Deep Learning with Python"

data-science-blogs. A curated list of data science blogs

tabnet. PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Deep-Trading. Algorithmic trading with deep learning experiments

reinforcement-learning-kdd. Jupyter Notebook