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ali-feature-extractor

Pretrained CIFAR10 ALI GAN with code for feature extraction (no training code)

analogy-datasets

avoidr

collision avoidance game written in pygame

bigan

code for "Adversarial Feature Learning"

blocks

A Theano framework for building and training neural networks

bogota

Behavioral game theory analysis in Python

choices13k

cifar-10h

Original dataset release for CIFAR-10H

cifar10-human-experiments

cinic-10

A drop-in replacement for CIFAR-10.

dallinger

Laboratory automation for the behavioral and social sciences; human culture on a chip.

easy_slurm

easily run slurm jobs with a python dictionary of argument values to gridsearch

eval-word-rep

Evaluating word representations (vectors) against human word association data.

ffhq-dataset

Flickr-Faces-HQ Dataset (FFHQ)

funsplash

Easily scrape targeted and limitless unsplash images with no web drivers, scrolling, or nodejs unhandled pipe errors!

gitignore

A collection of useful .gitignore templates

hurd

Risky choice / decision making models written in Python

hyde-hugo-starter

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jspsychbackendstart

Clone this repository for a starting point for the tutorial on how to turn your jsPsych experiment into a Node.js application (with a pinch of Express and Mongoose) and how to deploy it to Heroku.

judicious

keras

Deep Learning for humans

kmeans-equal-groups

omi

The One Million Impressions (OMI) face dataset from Peterson et al. (PNAS, 2022)

openwebtext

Open clone of OpenAI's unreleased WebText dataset scraper. This version uses pushshift.io files instead of the API for speed.

percept2vec

Datasets and API (coming soon) for fitting CNN representations to human similarity judgments for images

pretrained-generative-models-list

prog_gans_pytorch_inference

PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot

pt

Computational models for prospect theory and other theories of

rbf_keras

RBF layer for Keras