A Unified Framework for Metric Transfer Learning

A repository of abbreviations for references, e.g., for conferences, journals, institutes, etc.

Automatically exported from code.google.com/p/princeton-mvpa-toolbox

A curated list of resources for Learning with Noisy Labels

Convolutional Neural Networks (CNNs) are being widely used for various tasks in Computer Vision. We focus on the task of image classification particularly using CNNs with more focus on the relation…

OTB Module: Fast Feature Selection

Improved speech enhancement with the Wave-U-Net, a deep convolutional neural network architecture for audio source separation, implemented for the task of speech enhancement in the time-domain.

deep stacking network classification in EEG

EEG time-series data analysis including ERPs, time-frequency analysis, statistics and classification

Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease (AMIA 2018)

Some MatLab codes for regenerating figures in the reinforcement learning book

Computationally Efficient Sparse Bayesian Learning via Generalized Approximate Message Passing

Semi Supervised Learning Superpixels

A curated list of awesome embedding models tutorials, projects and communities.

Mid-level Deep Pattern Mining

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face D…

This repository is no longer maintained.

One-shot Learning for Semantic Segmentation

Python implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion pr…

Linked Matrix Factorization

A curated list of community detection research papers with implementations.

Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

The Open Images dataset

Apache Spark - A unified analytics engine for large-scale data processing

An index of algorithms for learning causality with data

POT : Python Optimal Transport

Notes and tricks

Matlab/Octave Machine Learning Toolbox for Brain-Computer Interfaces