christopher-beckham Goto Github PK

acgan-lasagne

acgan

ali-lasagne

Adversarially learned inference in Lasagne

amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

amr

Official adversarial mixup resynthesis repository

amr_demo

amr_demo

annotated-conditional-diffusion

arae

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

autoscript

Convert a .json file specifying hyperparameters to individual shell scripts to be executed

barcoding

dna barcoding

batchcostsensitiveclassifier

yeah nah

binary_gan_demo

bio-algorithms

Implemented algorithms from UC bioinformatics algorithms course

bmsg-gan

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning.

challenges-few-shot-gans

Official repository for "Overcoming challenges in leveraging GANs for few-shot data augmentation", accepted to CoLLAs 2022.

choosem

dropdown picker/launcher for mac os

chrisplotall

R package that plots all possible histograms, scatterplots, and boxplots determined by the type of variables present in the specified dataset. Has two modes - can output graphs externally to png files, or simply display to the graphics device (the latter of which could be useful if producing R Markdown scripts).

christopher-beckham

christopher-beckham.github.io

christorch_examples

Examples for my christorch repo

cleverbot.py

Cleverbot API from maxvitek, modified to work on SL4A

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

clevr-mrt

Official repository for CLEVR: Mental Rotation Tests

clevr-mrt-dataset-gen

clr

cnn-energy-model

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

comp767

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

coms-are-energy-models

Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model

continual_learning_papers

Relevant papers in Continual Learning

conway-maxwell-binomial

Implementation of the Conway-Maxwell-Binomial distribution (for unimodal/ordinal classification problems) in PyTorch.

create-missing-values

WEKA filter for randomly making values in a dataset missing