greydanus/greydanus.github.io

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greydanus/greydanus.github.io

greydanus

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My academic blog

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

Jupyter Notebook

scribe

Realistic Handwriting with Tensorflow

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baby-a3c

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

crypto-rnn

Learning the Enigma with Recurrent Neural Networks

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visualize_atari

Code for our paper "Visualizing and Understanding Atari Agents" (https://goo.gl/AMAoSc)

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mnist1d

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

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pythonic_ocr

A convolutional neural network implemented in pure numpy.

excitationbp

Visualizing how deep networks make decisions

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dnc

Differentiable Neural Computer in TensorFlow

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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.

psi0nn

A neural network quantum ground state solver

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ncf

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

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structural_optimization

Coding structural optimization, from scratch, in 200 lines of Python

stereograms

Code for playing with random dot stereograms.

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mr_london

A LSTM recurrent neural network implemented in pure numpy

mnist-gan

Generative Adversarial Networks for the MNIST dataset

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rlzoo

A central location for my reinforcement learning experiments

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subspace-nn

Optimizing neural networks in subspaces

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np_nets

Neural network experiments written purely in numpy

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fractal_tree

A numerical model of fractal dynamics

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studying_growth

Studying Cell Growth with Neural Cellular Automata

piecewise_node

Temporal abstraction for autoregressive sampling

regularization

I use a one-layer neural network trained on the MNIST dataset to give an intuition for how common regularization techniques affect learning.

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dlfun

Forays into the world of deep learning using TensorFlow

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compton

Exploring the quantum nature of light with compton scattering

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friendly_qlearning

Exploring social behavior with qLearning agents

deep_thesaurus

Use a pretrained NLP model to rank thesaurus suggestions

artiste

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

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baselines

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

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billiards

A simple RL environment for studying planning.

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