platzi / Platzidata

Papers I read

Solution of RecSys Challenge 2015

Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

brief introduction to Python for neural networks

Colorise Anime/Manga Sketches with DeOldify

A collection of simple tutorials for using Fonduer

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Local AI demo and distributed AI demo using TensorFlow

Resources for Machine Learning Pocket Reference

A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the different algorithms works and their differents caracteristics.

Neural machine translator for English2German translation.

Série histórica dos dados sobre COVID-19, a partir de informações do Ministério da Saúde

Keras implementation of NASNet-A

Amazon SageMaker examples for prebuilt framework mode containers, a.k.a. Script Mode, and more (BYO containers and models etc.)

nbconflux converts Jupyter Notebooks to Atlassian Confluence pages

Deep Learning: Image classification, feature visualization and transfer learning with Keras

TensorFlow Tutorials with YouTube Videos

生命情報の機械学習入門（新学術領域「先進ゲノム支援」中級講習会資料）

Machine learning portfolio