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Name: Martín Gonella
Type: User
Company: Taller technologies
Bio: Vice President, Engineering
Twitter: martin_gonella
Location: Córdoba, Argentina.
Name: Martín Gonella
Type: User
Company: Taller technologies
Bio: Vice President, Engineering
Twitter: martin_gonella
Location: Córdoba, Argentina.
ML/DL papers which I found useful. Lots of them.
Scripts de análisis de calidad de datasets para data.buenosaires.gob.ar
Análisis de series temporales (optativa)
Repositorio para la materia de Análisis Exploratorio y Curación de Datos
Repositorio para la materia Análisis y Visualización de Datos
Curso de Aprendizaje NO Supervisado
Repositorio oficial de la materia optativa "Aprendizaje Profundo" (Deep Learning) de la Diplomatura en Ciencias de Datos de la UNC
Curso de Aprendizaje Supervisado.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Python library that makes it easy for data scientists to create charts.
Essential Cheat Sheets for deep learning and machine learning researchers
Curso de Álgebra Lineal
Primer curso de Craftech Academy - Marzo 2021
Custom Object Detection with TensorFlow
A curated list of data science blogs
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
En este repositorio vas a encontrar contenido extra, tutoriales, links y mucho más, sobre Data Science.
Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
Examples on reproducible data science
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep Learning Papers on Medical Image Analysis
Introduction to Deep Neural Networks with Keras and Tensorflow
Some of my deep learning experiments
Deep Learning tutorial in Python using Keras, Tensorflow and Tensorboard for the "Argentinian School in Artificial Intelligence" (EAIA).
Repositorio de la Diplomatura de Datos
Python and JavaScript bindings for calling the Earth Engine API.
Using Flask and Matplotlib
Google Colab Tutorial
Docker 101 workshop
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.