rragundez Goto Github PK
Name: Rodrigo Agundez
Type: User
Company: Dyson
Location: Singapore
Blog: rragundez.bio
Name: Rodrigo Agundez
Type: User
Company: Dyson
Location: Singapore
Blog: rragundez.bio
Python Flask application skeleton with an input form, using gunicorn and with a Dockerfile template
Script to retrieve all the faces found in pictures inside a directory
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.
This contains notes and exercises made in Python I made a long time ago from the Andrew Ng course in Coursera.
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.
Python notebooks for the tutorial given in the Data Science Summit 2016 in Jerusalem
Walk through lecture from the basics of information theory and Bayesian inference, to Variational Autoencoders.
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.
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Add Google Cloud Platform support to Terraform
Explanation and code implementation of the multi-threshold neuron in an artificial neural network
This repository includes a Python wrapper over C++ to capture images from a basler camera. Uses the pylon c++ api.
Notebooks from the Face Recognition Tutorial I gave at PyData Amsterdam
Contents of the workshop "Hands-on introduction to Deep Learning with Keras and Tensorflow" I gave at PyData Amsterdam 2018
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
Python script to solve the Rush Hour Solver game. It contains executable files that solve the board designed in board.txt
Notes and notebooks of the Deep Learning course by google available in Udacity
Collection of generic functions I have used in my projects
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.