Joel Dapello's repositories
adversarial-robustness-toolbox
Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
brain-score-imnet-c
A framework for evaluating models on integrative brain measurements
brainio
Data management for quantitative comparison of brains and brain-inspired systems
brainio_collection
collection of stimuli and data
vgg-feature-gen
generate features from a variety of vgg networks
candidate_models_VOne
Candidate Models to evaluate on Brain-Score benchmarks
LatentVelo
A fork to experiment with LatentVelo for single cell trajectory inference.
learn2learn
A PyTorch Library for Meta-learning Research
prediction_demo
This code is to estimate % explained variance of neural data from DCNN features
rnnManifolds
Analyzing perceptual manifolds of recurrent convolutional neural networks
sample-model-submission
Template and examples for model submissions to Brain-Score
vonenet
Repository for VOneNet models