jesus-a-martinez-v Goto Github PK
Name: Jesús Martínez
Type: User
Company: www.datasmarts.net/es
Bio: Software Engineering, Machine Learning and Computer Vision Expert
Location: Colombia
Name: Jesús Martínez
Type: User
Company: www.datasmarts.net/es
Bio: Software Engineering, Machine Learning and Computer Vision Expert
Location: Colombia
Concurrent address cache implemented using Akka's actors.
Implementation of a pipeline that uses several advanced computer vision techniques to track lane lines on the road.
Implementation of an inception model (transfer learning) using TensorFlow Java API in Koltin
Phil Ferriere's Artificial Intelligence Nanodegree Projects (reports and code)
Implementation of fully-connected and convolutional autoencoders using TensorFlow.
CIFAR-10 classifier trained using Auto-Keras.
Lightweight API for solving this challenge: https://www.hackerrank.com/challenges/cube-summation?h_r=internal-search
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
Deep Learning model trained to clone the driving behavior of a human in a simulator. Developed as part of the Self-Driving Car Nanodegree by Udacity. Implemented using Keras with TensorFlow backend.
Simple implementation of a neural network using only Numpy and Pandas, used to predict bike ridership data.
Example of how to use color thresholding to implement a simple blue screen using OpenCV.
Book cover search engine using image keypoints and descriptors.
Evaluation and validation of a predictive model developed using the classic Boston Housing Prices dataset.
Implementation of a regression model in Spark MLlib and Jupyter, using the classic Boston Housing dataset
Car detector trained using a combination of deep learning and classic machine learning algorithms.
Captcha breaker implemented using OpenCV and Keras.
Classification tasks using Spark MLlib, on the UCIML Car Evaluation Data Set.
CarND Term 2 Model Predictive Control (MPC) Project
Simple implementation of a Convolutional Neural Network used to classify objects in the well-known CIFAR-10 dataset.
Implementation of an AlexNet architecture in DL4J to make predictions on the classical CIFAR-10 dataset
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.