Feng Liu's repositories
nsf-proposal-latex-samples
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
PathomicFusion
Fusing Histology and Genomics via Deep Learning - IEEE TMI
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
ML-YouTube-Courses
📺 A repository to index and organize the latest machine learning courses found on YouTube.
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
multimodal-deep-learning
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
multimodal-deep-learning-for-disaster-response
Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
nn-brain
Tutorial codes for modeling brains with neural nets
arl-eegmodels
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
EEG-Transient-State
Codes for Transient state analysis in EEG
liufengbrain.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
CyKit
Python 3x server to deliver neural EEG data to browser and generic clients via TCP stream.
GNNPapers
Must-read papers on graph neural networks (GNN)
HFOs-Identification-Imaging
This repository contains the source codes and sample data of the project High-frequency Oscillations Identification and Imaging.
Multitask-Learning
Awesome Multitask Learning Resources
ML-From-Scratch
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 learning.
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
prml
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
longitudinal-neighbourhood-embedding
Self-supervised Longitudinal Neighbourhood Embedding (LNE), Submitted to MICCAI2021
MDL
Detecting Product Adoption Intention via Multi-View Deep Learning
SleepEEGNet
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Engagement-Recognition
Automatic Recognition of Student Engagement using Deep Learning and Facial Expression
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Time-Series-Deconfounder
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