loliverhennigh Goto Github PK
Name: Oliver Hennigh
Type: User
Company: Nvidia
Bio: Machine learning researcher.
Location: Bothell, Washington
Name: Oliver Hennigh
Type: User
Company: Nvidia
Bio: Machine learning researcher.
Location: Bothell, Washington
Just a simple use example of the conv2d_transpose function in TensorFlow. Its run on MNIST.
A look at using conv nets all the way through for TensorFlows MNIST Tutorial
Applies Backer Map to study dynamical systems with opposite "arrows of time"
A Billiard Simulator For Test Dynamical systems
A simple Restricted Boltzmann machine. For use in Neural Networks and other learning needs.
A tool to compressing video based dynamical systems on to small low dimensional LSTMs or fully connected networks. This also doubles as a video generative model as seen bellow.
This is both an implementation of the paper "Action-Conditional Video Prediction using Deep Networks in Atari Games" and an extension of some of their results
This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.
A list of papers relating Computational Physics and Machine Learning
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
A dataset of mineral images and labels for machine learning purposes. http://www.minerals.net/
CS452/EE465 Spring 2015 Lab1
CS452/EE465 Spring 2015 Lab1
CS452/EE465 Spring 2015 Lab3
CS452/EE465 Spring 2015 Lab5
CS452/EE465 Spring 2015 Project1
CS452/EE465 Spring 2015 Project2
A simple heat diffusion simulator
A simple python program to queue up deep learning experiments on gpus
A list of deep learning papers and notes on them
Automated Design Library using Deep Neural Networks
just a quick example of using the conv lstm in tensorflow as per https://github.com/tensorflow/tensorflow/pull/8891
Simple dynamical systems to test machine learning algorithms. Written with TensorFlow in mind
Here is an implementation of some of a few results seen in Early Visual Concept Learning with Unsupervised Deep Learning
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
Neural Networks learning to create objects with desired flow properties.
starter from "How to Train a GAN?" at NIPS2016
A library to reduce the dimentionality and computation time of dynamical systems. Particularly that of a goldfish
Optimizing the watering system for a greenhouse yaya!
Test repo for trying out part cad
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.