- š Hi, Iām @madrigaljose
- š Iām interested in machine learning, AI, python, etc
- š± Iām currently learning data science
madrigaljose Goto Github PK
Type: User
Type: User
NMA Computational Neuroscience course
Tensorflow implementation of CycleGANs
Tensorflow implementation of CycleGANs
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
An implementation of CycleGan using TensorFlow
Re-implement CycleGAN in Tensorlayer
Course on data for machine learning
Deep Learning Illustrated (2020)
Deep Learning with TensorFlow, Keras, and PyTorch
A short course to teach how to use Git.
Introduction to Deep Neural Networks with Keras
Contains notebooks for hyper-parameter tuning, model tuning
Config files for my GitHub profile.
Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science
Contains the AI Readiness Guide
Automation for drawing black and white pictures with mouse
NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
This repo contains the example code used in my Medium article about NeuralProphet.
The "Python Machine Learning (3rd edition)" book code repository
The Python Code Tutorials
Reinforcement learning intro - using OpenAI: Gym. FrozenLake, Python Code.
Scraping TripAdvisor Reviews using Python
Intro to text analysis
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Programs for stock prediction and evaluation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.