greydanus

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

Pinned Repositories

baby-a3c
A high-performance Atari A3C agent in 180 lines of PyTorch
Language:Python171 5 1143
crypto-rnn
Learning the Enigma with Recurrent Neural Networks
Language:Jupyter Notebook160 8 451
cursivetransformer
Training a transformer to generate cursive
Language:Jupyter Notebook14 1 02
dnc
Differentiable Neural Computer in TensorFlow
Language:Jupyter Notebook27 3 411
excitationbp
Visualizing how deep networks make decisions
Language:Jupyter Notebook66 6 924
hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
Language:Jupyter Notebook436 16 4131
mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
Language:Jupyter Notebook204 6 1234
pythonic_ocr
A convolutional neural network implemented in pure numpy.
Language:Python68 5 038
scribe
Realistic Handwriting with Tensorflow
Language:Jupyter Notebook262 10 987
visualize_atari
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
Language:Jupyter Notebook120 3 334

greydanus's Repositories

greydanus/hamiltonian-nn
Code for our paper "Hamiltonian Neural Networks"
Language:Jupyter Notebook436 16 4131
greydanus/scribe
Realistic Handwriting with Tensorflow
Language:Jupyter Notebook262 10 987
greydanus/mnist1d
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
Language:Jupyter Notebook204 6 1234
greydanus/baby-a3c
A high-performance Atari A3C agent in 180 lines of PyTorch
Language:Python171 5 1143
greydanus/crypto-rnn
Learning the Enigma with Recurrent Neural Networks
Language:Jupyter Notebook160 8 451
greydanus/visualize_atari
Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)
Language:Jupyter Notebook120 3 334
greydanus/pythonic_ocr
A convolutional neural network implemented in pure numpy.
Language:Python68 5 038
greydanus/excitationbp
Visualizing how deep networks make decisions
Language:Jupyter Notebook66 6 924
greydanus/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.
Language:Python25 4 02
greydanus/ncf
Nature's Cost Function (NCF). Finding paths of least action with gradient descent.
Language:Jupyter Notebook18 4 03
greydanus/cursivetransformer
Training a transformer to generate cursive
Language:Jupyter Notebook14 1 02
greydanus/structural_optimization
Coding structural optimization, from scratch, in 200 lines of Python
Language:Python12 2 01
greydanus/greydanus.github.io
My academic blog
Language:HTML11 3 16
greydanus/studying_growth
Studying Cell Growth with Neural Cellular Automata
Language:Python9 2 0
greydanus/np_nets
Neural network experiments written purely in numpy
Language:Jupyter Notebook3 2 04
greydanus/piecewise_node
Temporal abstraction for autoregressive sampling
Language:Python3 2 0
greydanus/subspace-nn
Optimizing neural networks in subspaces
Language:Jupyter Notebook3 3 04
greydanus/baselines
Simple MNIST baselines for 1) numpy backprop 2) dense nns 3) cnns 3) seq2seq
Language:Jupyter Notebook1 2 02
greydanus/billiards
A simple RL environment for studying planning.
Language:Jupyter Notebook1 1 01
greydanus/deep_thesaurus
Use a pretrained NLP model to rank thesaurus suggestions
Language:HTML1 4 00
greydanus/evostrats
A minimal evolution strategies benchmark
Language:Python1 1 01
greydanus/karpathy.github.io
my blog
Language:CSS1 2 0
greydanus/lagrangian_nns
Fork of codebase from Miles Cranmer's GitHub
Language:Python1 2 0
greydanus/dissipative_hnns
Fork from Sosanya's GitHub of our code for "Dissipative HNNs"
Language:Jupyter Notebook2 01
greydanus/generic_heroku
A repo for hosting a generic Heroku app
Language:HTML4 1
greydanus/minirts
import numpy as np and enjoy
Language:Jupyter Notebook3 01
greydanus/neural-structural-optimization
Neural reparameterization improves structural optimization
Language:Jupyter Notebook2 0
greydanus/papers
Paper reviews for my work with the XAI group at Oregon State
Language:Jupyter Notebook2 0
greydanus/pderl
Code for "Proximal Distilled Evolutionary Reinforcement Learning", accepted at AAAI 2020
Language:Python1 0
greydanus/prices
Random price research
Language:Jupyter Notebook1 01