mschrimpf

vision

A framework for evaluating models on their alignment to brain and behavioral measurements (100+ benchmarks)

CORnet

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

scaling-primate-vvs

Scaling Laws for Task-Optimized Models of the Primate Visual Ventral Stream

topolm

TopoLM: brain-like spatio-functional organization in a topographic language model

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

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