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followers: 506.0 following: 23.0 repos: 41.0 gists: 4.0

Name: Sam

Type: User

Bio: Windscape AI and Greenfield Properties. Previously @Google Brain, @Dartmouth College

Twitter: samgreydanus

Blog: https://greydanus.github.io/about_me/

Sam's Projects

artiste

The idea here was to teach an RNN to draw, pixel by pixel, over a template image using DDPG

baby-a3c

A high-performance Atari A3C agent in 180 lines of PyTorch

baselines

Simple MNIST baselines for 1) numpy backprop 2) dense nns 3) cnns 3) seq2seq

compton

Exploring the quantum nature of light with compton scattering

crypto-rnn

Learning the Enigma with Recurrent Neural Networks

deep_thesaurus

Use a pretrained NLP model to rank thesaurus suggestions

dissipative_hnns

Fork from Sosanya's GitHub of our code for "Dissipative HNNs"

dlfun

Forays into the world of deep learning using TensorFlow

dnc

Differentiable Neural Computer in TensorFlow

excitationbp

Visualizing how deep networks make decisions

$fractal_tree icon$ fractal_tree

A numerical model of fractal dynamics

friendly_qlearning

Exploring social behavior with qLearning agents

generic_heroku

A repo for hosting a generic Heroku app

greydanus.github.io

My academic blog

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

karpathy.github.io

my blog

lagrangian_nns

Fork of codebase from Miles Cranmer's GitHub

minirts

import numpy as np and enjoy

mnist-gan

Generative Adversarial Networks for the MNIST dataset

mnist1d

A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.

mr_london

A LSTM recurrent neural network implemented in pure numpy

ncf

Nature's Cost Function (NCF). Finding paths of least action with gradient descent.

neural-structural-optimization

Neural reparameterization improves structural optimization

np_nets

Neural network experiments written purely in numpy

optimize_wing

We simulate a wind tunnel, place a rectangular occlusion in it, and then use gradient descent to turn the occlusion into a wing.

papers

Paper reviews for my work with the XAI group at Oregon State

pderl

Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020

piecewise_node

Temporal abstraction for autoregressive sampling

psi0nn

A neural network quantum ground state solver

pythonic_ocr

A convolutional neural network implemented in pure numpy.

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Sam's Projects

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