Stars
A package for causal inference and statistical modeling in brain time series
Segment, Shuffle, and Stitch: A Simple Mechanism for Improving Time-Series Representations
A Python package for causal inference in quasi-experimental settings
Graph Machine Learning course, Xavier Bresson, 2023
Using vision-language models to decode natural image perception from non-invasive brain recordings.
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
The official pytorch implemention of our ICML-2021 paper "SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks".
Classical equations and diagrams in machine learning
Real-time analysis of intracranial neurophysiology recordings.
Infinite Photorealistic Worlds using Procedural Generation
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Android real-time display control software
Code for 'Natural Statistics Support a Rational Account of Confidence Biases'
Package for extracting and mapping the results of every single tensor operation in a PyTorch model in one line of code.
Python package for extracting representations from state-of-the-art computer vision models
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Latex code for making neural networks diagrams
Reverse engineering of Metacognition toolbox
A python-based tool for multivariate pattern dependence (MVPD) analysis on fMRI data.
A list of schools and researchers in computational neuroscience
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Author's implementation of the paper: "Deep Attentive Variational Inference", ICLR 2022.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）