rragundez Goto Github PK

app-skeleton

Python Flask application skeleton with an input form, using gunicorn and with a Dockerfile template

build-face-dataset

Script to retrieve all the faces found in pictures inside a directory

chunkdot

Multi-threaded matrix multiplication and cosine similarity calculations for dense and sparse matrices. Appropriate for calculating the K most similar items for a large number of items by chunking the item matrix representation (embeddings) and using Numba to accelerate the calculations.

coursera-machine-learning-andrewng-python

This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.

cvat

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

data-science-project-flow

data-science-summit-2016

Python notebooks for the tutorial given in the Data Science Summit 2016 in Jerusalem

deep-painting

dissect-vaes

Walk through lecture from the basics of information theory and Bayesian inference, to Variational Autoencoders.

elitist-shuffle

In today's high pace user experience it is expected that new recommended items appear every time the user opens the application, but what do to if your recommendation system runs every hour or every day? I give you a solution/hack that you can plug & play without having to re-engineer your recommendation system.

jupyterhub-docker

keras-core

A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.

magic-modules

Add Google Cloud Platform support to Terraform

multi-threshold-neuron

Explanation and code implementation of the multi-threshold neuron in an artificial neural network

pybasler

This repository includes a Python wrapper over C++ to capture images from a basler camera. Uses the pylon c++ api.

pydata

Notebooks from the Face Recognition Tutorial I gave at PyData Amsterdam

pydataamsterdam2018

Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018

pyspark-adhocml

PySpark Models that can be instantiated without calling fit on a estimator. Created ad-hoc with external parameters. Can be use as a normal Model in PySpark ML

rragundez.github.io

rush-hour-game-solver

Python script to solve the Rush Hour Solver game. It contains executable files that solve the board designed in board.txt

sparkml-base-classes

udacity-deep-learning-google

Notes and notebooks of the Deep Learning course by google available in Udacity

utility-functions

Collection of generic functions I have used in my projects