Pinned Repositories
2016-makemit-dayof
MakeMIT 2016 Day Of Page
2DTimeStockBuying
cdk-lambda-python-with-requirements
Example of AWS CDK deployment of a lambda function with python requirements
EUNN-theano
EUNN implementation in theano
Optics_MNIST
Optical MNIST
PhysNet
A net for doing physics. How cool!
ScatteringNet
ScatterNet
Code for all work presented in Nanophotonic Particle Simulation and Inverse Design Using Artificial Neural Networks
SphericalCode
urnn-EURNN
EURNN version in theano
iguanaus's Repositories
iguanaus/EUNN-theano
EUNN implementation in theano
iguanaus/SphericalCode
iguanaus/urnn-EURNN
EURNN version in theano
iguanaus/2016-makemit-dayof
MakeMIT 2016 Day Of Page
iguanaus/2DTimeStockBuying
iguanaus/PlatformerPlayer
iguanaus/Amazing-Algos
This is a program designed to test Optimized 2-Dimensional Seek and Evasion Algorithms.
iguanaus/AmazingAlgos
This is a program designed to test Optimized 2-Dimensional Seek and Evasion Algorithms.
iguanaus/BookerVillePythonIntegrator
This provides an integration with the BookerVille API for python
iguanaus/complex_RNN
unitary matrix for hidden to hidden layer
iguanaus/EmailToText
Basic Application to translate an email into a text using GCM
iguanaus/EUNN-tensorflow
EUNN implementation in tensorflow. For detail, arxiv: 1612.05231
iguanaus/hackmit-hackq
an extensible real-time queue application, for mentorship @ hackathons and classrooms
iguanaus/hackmit-helpdesk
hackmit helpdesk queue
iguanaus/klusta
Automatic spike sorting up to 64 channels
iguanaus/MakeMIT
Make MIT
iguanaus/makemit-checkin
iguanaus/makemit-checkin-2
check-in system (do not commit personally identifiable information)
iguanaus/MovingUp
Moving Up Game
iguanaus/NeuralNetworks
Team Tegmark Neural Networks.
iguanaus/pyetrade
Automatically exported from code.google.com/p/pyetrade
iguanaus/Spectroscopy
Source code for spectroscopy (C# and FPGA)
iguanaus/Spherical_code_matlab
iguanaus/tensorflow
Computation using data flow graphs for scalable machine learning
iguanaus/urnn
Code for paper "Full-Capacity Unitary Recurrent Neural Networks"