LaTeX samples for NSF Research.gov Proposal Submission. For more information about Research.gov Proposal Submission visit https://www.research.gov/research-web/content/aboutpsm Feedback syee@nsf.gov

Fusing Histology and Genomics via Deep Learning - IEEE TMI

An open access book on scientific visualization using python and matplotlib

📺 A repository to index and organize the latest machine learning courses found on YouTube.

Mathematical derivation and pure Python code implementation of machine learning algorithms.

Python Data Science Handbook: full text in Jupyter Notebooks

This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.

Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset

Tutorial codes for modeling brains with neural nets

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Codes for Transient state analysis in EEG

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Python 3x server to deliver neural EEG data to browser and generic clients via TCP stream.

Must-read papers on graph neural networks (GNN)

This repository contains the source codes and sample data of the project High-frequency Oscillations Identification and Imaging.

Awesome Multitask Learning Resources

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

Self-supervised Longitudinal Neighbourhood Embedding (LNE), Submitted to MICCAI2021

Detecting Product Adoption Intention via Multi-View Deep Learning

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

Automatic Recognition of Student Engagement using Deep Learning and Facial Expression

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. Bica, A. M. Alaa, M. van der Schaar