ajalvarez Goto Github PK
Name: Alejandro José Alvarez-Socorro
Type: User
Company: Universidad de Chile
Bio: A Mathematician, Physicist, Data Scientist, and Computer Science Enthusiast :-)
Location: Santiago, Chile.
Blog: http://alvarezlab.net
Name: Alejandro José Alvarez-Socorro
Type: User
Company: Universidad de Chile
Bio: A Mathematician, Physicist, Data Scientist, and Computer Science Enthusiast :-)
Location: Santiago, Chile.
Blog: http://alvarezlab.net
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Provide an input CSV and a target field to predict, generate a model + code to run it.
Community detection in complex networks by the use of convex sum of dissimilarity measures
Portafolio
A high quality chat interface built entirely with Plotly Dash incorporating functionality for RAG, feedback and more.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Setup end to end demo architecture for predicting fraud events with Machine Learning using Amazon SageMaker
Curso de Machine Learning e Inteligencia para Humanos
A simple, extensible Markov chain generator.
Companion webpage to the book "Mathematics For Machine Learning"
Network Science with Python and NetworkX Quick Start Guide, published by Packt
Python library for Natural Language Generation (including SimpleNLG wrapper)
A nonlinear dynamics library for python
openFrameworks addon: visualize Reaction Diffusion systems using GPU
The OSIsoft samples are introductory, language-specific examples of programming against OSIsoft technologies. They are intended as instructional samples only.
A cross-platform implementation of various reaction-diffusion systems.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Ranking in Networks
Hands-on SageMaker lab looking at cell phone churn
Problems in Spatial Extended Dynamical Systems
Code for Tensorflow Machine Learning Cookbook
Thinking in Data Analysis
Thinking in Algorithms: A set of solved problems in algorithms with mathematical flavor
Thinking in Spatial Extended Systems
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
Learning XMDS to Explore Topics in Dynamical Systems and Nonlinear Sciences
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.