Implementation of the paper: REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

Adding quality checks and confounds computation steps to fmriprep for stroke data.

Mantis: Lightweight Foundation Model for Time Series Classification

Best practices & guides on how to write distributed pytorch training code

An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].

Interactive visualizations of the geometric intuition behind diffusion models.

4-day AI hackathon in 1337 Benguerir, Morocco

A Novel Benchmark for Few-Shot Semantic Segmentation in the Era of Foundation Models

Puzzles for exploring transformers

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Scrape papers from OpenReview using OpenReview API

[CVPR 2025] This repository is the official implementation of "ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models"

A Conversational Speech Generation Model

Pytorch implementation of our work "Domain-Invariant Representation Learning of Bird Sounds" (arXiv 2024)

Pytorch implementation of our work "Domain-Invariant Representation Learning of Bird Sounds" (ICASSP 2026)

Handwritten Text Recognition and Character Detection

[NeurIPS'23] "Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model"

Curated list of Moroccans publishing in the most prestigious AI conferences

[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"

Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"

darija <-> english dataset

Repository of EEG-Simpleconv original paper

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

A repo for sharing notebooks

Repository for the software used in the PyRat course at IMT Atlantique

Implementation of Open-Set Likelihood Maximization for Few-Shot Learning

Cross-modal few-shot adaptation with CLIP