mschrimpf

vision

A framework for evaluating models on their alignment to brain and behavioral measurements (50+ benchmarks)

CORnet

[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

occlusion-classification

[PNAS'18] Recurrent computations for visual pattern completion: Classification of occluded images in humans and recurrent neural networks

brain-score

NOT THE MAIN BRAIN-SCORE REPOSITORY | This is my personal fork of the brain-score repository for exploration; please use https://github.com/brain-score/brain-score for the official library

chat_classification

Naive Bayes Classification of written text inside an Android App

cv

LaTeX Curriculum Vitae template (filled with my personal info, extendable to anyone)

dbimpl

Implementation of database components from scratch

JavaCard

Exemplary Smartcard application: key exchange, public key encryption and PIN user authentication

neural-nlp

[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing

pytorch_tutorial

PyTorch tutorial for the MIT-Harvard compneuro journal club

mschrimpf/neural-nlp

[PNAS'21] The neural architecture of language: Integrative modeling converges on predictive processing

mschrimpf/pytorch_tutorial

PyTorch tutorial for the MIT-Harvard compneuro journal club

mschrimpf/cv

LaTeX Curriculum Vitae template (filled with my personal info, extendable to anyone)

mschrimpf/brain-score

NOT THE MAIN BRAIN-SCORE REPOSITORY | This is my personal fork of the brain-score repository for exploration; please use https://github.com/brain-score/brain-score for the official library

mschrimpf/bmm22_language

[BMM'22] Tutorial on computational models of the human language system at the Brains, Minds, and Machines summer school 2022

mschrimpf/IT-fitting

mschrimpf/skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

mschrimpf/awesome-computational-neuroscience

A list of schools and researchers in computational neuroscience

mschrimpf/awesome-neuro-ai-papers

Papers from the intersection of deep learning and neuroscience

mschrimpf/bag-of-local-features-models

Pretrained bag-of-local-features neural networks

mschrimpf/brainio

Data management for quantitative comparison of brains and brain-inspired systems

mschrimpf/brainio_contrib

contribute stimuli or data to BrainIO

mschrimpf/brainscore_language

mschrimpf/candidate_models

Candidate Models to evaluate on Brain-Score benchmarks

mschrimpf/CIFAR10-brainscore

Brain-Score submission of of pretrained TorchVision models on CIFAR10 dataset

mschrimpf/contributor_covenant

Pledge your respect and appreciation for contributors of all kinds to your open source project.

mschrimpf/deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

mschrimpf/FixRes

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

mschrimpf/hmax

Brainscore submission project for the hmax model.

mschrimpf/ITN

Modeling cortical visual topography with interactive topographic network (ITN) models

mschrimpf/lm_1b

pseudo-fork of https://github.com/tensorflow/models/tree/master/research/lm_1b for direct pip installation

mschrimpf/omnivore_brainscore

Omnivore submission to Brain-Score

mschrimpf/OpenNMT-py

Open Source Neural Machine Translation in PyTorch

mschrimpf/pixel-model

mschrimpf/PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

mschrimpf/r3m

R3M wrapped for Brain-Score submission

mschrimpf/texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

mschrimpf/U-Net-Pred

brain-score submission of Uran et al.'s 2020 Gammanet (V1-like UNet)

mschrimpf/unsup_vvs

Unsupervised deep convolutional neural network model for the ventral visual stream.

mschrimpf/ZOO-Attack

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks