renaissanceengineering Goto Github PK
Type: User
Type: User
Airspace theme (Hugo version)
A Latex style and template for paper preprints (based on NIPS style)
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow
Cracking the Coding Interview 6th Ed. Python Solutions
https://arxiv.org/abs/1805.01104
Algorithmic trading with deep learning experiments
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3350138
Deep Learning for Time Series Classification
Research in investment finance with Python Notebooks
Python tools and configuration files for Food100 dataset DarkNet YOLO training
A modern business theme for Hugo.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Sample code for the Model-Based Machine Learning book.
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
Oil & Natural Gas prie prediction using ARIMA & Neural Networks
Dockerized ML Cookiecutter
Dockerfiles for images used as part of the Orbyter toolset
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
The easiest way to automate your data
Using PushGP to evolve Compositional Pattern Producing Networks to create art in Clojure
An experiments with Compositional Pattern Producing Networks and Generative Adversarial Networks.
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
LaTeX resume format
Show how to structure a Python project.
Azimuth is a sleek SaaS theme for Stackbit
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.
StyleGAN2 - Official TensorFlow Implementation with practical improvements
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.