Stars
Generates synthetic electrophysiological data, with spontaneously time-varying amplitude and frequency, and various options to introduce different types of stimulus-driven effects..
Python suite for neuroscience research across all modalities.
This repository contains the code to train and evaluate TRIBE v2, a multimodal model for brain response prediction
🧠 Data-driven head model individualization from digitized electrode positions or photogrammetry for improved M/EEG source localization accuracy in case of unavailable MRI/CT scans
Toolbox for RCNN-based dynamical vision models
Code for Pushdown Layers from our EMNLP 2023 paper
epsilon machines and transformers!
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Exca - Execution and caching tool for python
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
One downloader for many scientific data and code repositories! DOI 👐 Data
Tools and functions for neural data processing and analysis in python
Rich is a Python library for rich text and beautiful formatting in the terminal.
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 Moza…
Official repository for the paper "Brain-Diffuser: Natural scene reconstruction from fMRI signals using generative latent diffusion" by Furkan Ozcelik and Rufin VanRullen.
Python package for extracting representations from state-of-the-art computer vision models
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Robust Speech Recognition via Large-Scale Weak Supervision
Automatic labeling of motion capture markers based on a nearest neighbor approach with additional heuristics and features to make it more robust
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!
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 …
Compare neural networks by their feature similarity
Source code for CoNLL 2021 paper by Huebner et al. 2021
A Python script for unfolding triangular meshes in order to create papercraft models
Research code for CVPR 2021 paper "End-to-End Human Pose and Mesh Reconstruction with Transformers"