Pinned Repositories
athms
deep-learning-basics
An introduction to the basics of deep learning.
evaluating-deeplight-transfer
Evaluating deep transfer learning for whole-brain cognitive decoding
learning-from-brains
Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training to date.
mad-lab
A MAD laboratory to improve AI architecture designs 🧪
many-item-choice
Uncovering the computational mechanisms underlying many-alternative choice
reproducible-modelling
This is an example of a reproducible modelling project
xai-brain-decoding-benchmark
Benchmarking explanation methods for mental state decoding with deep learning models.
gaze-bias-differences
glambox
A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
athms's Repositories
athms/mad-lab
A MAD laboratory to improve AI architecture designs 🧪
athms/learning-from-brains
Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One of the broadest neuroimaging datasets used for pre-training to date.
athms/deep-learning-basics
An introduction to the basics of deep learning.
athms/many-item-choice
Uncovering the computational mechanisms underlying many-alternative choice
athms/evaluating-deeplight-transfer
Evaluating deep transfer learning for whole-brain cognitive decoding
athms/xai-brain-decoding-benchmark
Benchmarking explanation methods for mental state decoding with deep learning models.
athms/reproducible-modelling
This is an example of a reproducible modelling project
athms/athms
athms/athms.github.io
about me
athms/dssg-dl-tutorial
A brief introduction to the basics of deep learning for the scholars of the 2021 data science for social good summer program at Stanford University
athms/gaze-bias-differences
athms/glambox
A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
athms/interprettensor
athms/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
athms/mistral
Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.
athms/xlstm
Official repository of the xLSTM.
athms/zoology
Understand and test language model architectures on synthetic tasks.