Christopher Beckham, PhD (christopher-beckham)

christopher-beckham

Geek Repo

Company:@mila-iqia

Location:Montréal, Québec

Home Page:http://www.beckham.nz

Twitter:@chris_j_beckham

Github PK Tool:Github PK Tool


Organizations
Waikato

Christopher Beckham, PhD's repositories

gan-heightmaps

Procedural terrain generation for video games has been traditionally been done with smartly designed but handcrafted algorithms that generate heightmaps. We propose a first step toward the learning and synthesis of these using recent advances in deep generative modelling with openly available satellite imagery from NASA.

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cnn-energy-model

A Theano implementation of a CNN DSEBM (deep structured energy-based model) described in https://arxiv.org/pdf/1605.07717v2.pdf

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inf6953h

My teaching materials for inf6953h

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msc

Repository of most of the stuff I did in my MSc (some resulting in some form of publication, and some dead ends). The rest of the work is scattered in various other repos on my Github.

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cyclegan-lasagne

A Lasagne implementation of CycleGAN.

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pix2pix-lasagne

An implementation of pix2pix (conditional GANs for image-to-image translation) in Lasagne: https://arxiv.org/abs/1611.07004

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ALI-lasagne

Adversarially learned inference in Lasagne

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comp767

All my presentations/reports + final project for the COMP767 reinforcement learning class at McGill.

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crfrnn_layer

A Lasagne layer (and supporting Theano Ops) for the CRF-as-RNN layer.

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ecuador-moths

Images of Ecuador Moths for Fine-grained Recognition

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genegan-lasagne

An implementation of GeneGAN in Lasagne

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Lasagne

Lightweight library to build and train neural networks in Theano

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lasagne-vae

Variational-autoencoder notebooks and code in Lasagne

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lasagne_stuff

Random stuff that could be useful for Lasagne

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learning-tensorflow

Learning TensorFlow with Eugene

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pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

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pytorch-grad-cam

PyTorch implementation of Grad-CAM

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quadratic-weighted-kappa

Implementation of quadratic weighted kappa in Lasagne

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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TensorFlow-Examples

TensorFlow Tutorial and Examples for beginners

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tsne-d3-python

Visualize high dimensional data with t-sne using D3 and Python

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vess2ret

A Keras implementation of pix2pix code adapted to generate retinal images from vessel networks.

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weightnorm

Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"

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wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

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