Jean-Rémi KING's starred repositories
Diffusion-LM
Diffusion-LM
braindecode
Deep learning software to decode EEG, ECG or MEG signals
MeshTransformer
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"
PyTorch-Model-Compare
Compare neural networks by their feature similarity
model-vs-human
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
thingsvision
Python package for extracting representations from state-of-the-art computer vision models
brain-diffuser
Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by Furkan Ozcelik and Rufin VanRullen.
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.
datahugger
One downloader for many scientific data and code repositories! DOI :open_hands: Data
paperfoldmodels
A Python script for unfolding triangular meshes in order to create papercraft models
motion-capture-labeling
Automatic labeling of motion capture markers based on a nearest neighbor approach with additional heuristics and features to make it more robust
IC-GAN_fMRI_Reconstruction
Official repository for the paper "Reconstruction of Perceived Images from fMRI Patterns and Semantic Brain Exploration using Instance-Conditioned GANs" by Furkan Ozcelik, Bhavin Choksi, Milad Mozafari, Leila Reddy, Rufin VanRullen.
eeg-self-supervision
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
naplib-python
Tools and functions for neural data processing and analysis in python
Role_of_Feedback_in_Predictive_Coding
Code related to the paper "On the role of feedback in visual processing: a predictive coding perspective"