Pinned Repositories
ABaCoDE
Code for our ICDMW 2018 paper: "Contextual Bandit with Adaptive Feature Extraction".
BanditZoo
Python library of bandits and RL agents in different real-world environments
BerlinUCB
Code for our AJCAI 2020 paper: "Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward".
dilemmaRL
Code for our PRICAI 2022 paper: "Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior".
HumanLSTM
Code for our PLOS ONE paper: "Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks"
mentalRL
Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
MiniVox
Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".
UnsupervisedAttentionMechanism
Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
V2R
Code for our IJCAI 2020 paper: "Keep It Real: a Window to Real Reality in Virtual Reality".
rsatoolbox
Python library for Representational Similarity Analysis
doerlbh's Repositories
doerlbh/MiniVox
Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".
doerlbh/mentalRL
Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
doerlbh/UnsupervisedAttentionMechanism
Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
doerlbh/V2R
Code for our IJCAI 2020 paper: "Keep It Real: a Window to Real Reality in Virtual Reality".
doerlbh/HumanLSTM
Code for our PLOS ONE paper: "Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks"
doerlbh/BanditZoo
Python library of bandits and RL agents in different real-world environments
doerlbh/dilemmaRL
Code for our PRICAI 2022 paper: "Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior".
doerlbh/ABaCoDE
Code for our ICDMW 2018 paper: "Contextual Bandit with Adaptive Feature Extraction".
doerlbh/BerlinUCB
Code for our AJCAI 2020 paper: "Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward".
doerlbh/scTSA
Single-Cell Topological Simplicial Analysis (scTSA)
doerlbh/PsychiatryNLP
doerlbh/neuroviz
Brain Experience: a data visualization by Baihan Lin on the visual perception process in the brain
doerlbh/AGTIC
Code for our paper: "Adaptive Geo-Topological Independence Criterion".
doerlbh/SequenceAttentionClassifier
SequenceAttentionClassifier: read-based Cancer mutation profiles discovery with attention mechanisms -- by Baihan Lin with Rabadan Lab
doerlbh/TopologicalRSA
doerlbh/UbiComp_OsteoApp_FEA
Finite Element Analysis and Bone Density Frequency Study for OsteoApp -- by Baihan Lin with UbiComp Lab
doerlbh/awesome-diarization
A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.
doerlbh/Code_testing_undergrad
a repository to store testing codes in my undergrad time.
doerlbh/data-structures
repository for learning web-based data structures (engineering for interactive systems)
doerlbh/doerlbh
doerlbh/eye-tracking-orientation-categorization
figure out fixation/saccades and moving orientations
doerlbh/google-research
Google AI Research
doerlbh/gudhi-temporal
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
doerlbh/hrl-ep3
Code for our paper: Hierarchical RL Using an Ensemble of Proprioceptive Periodic Policies
doerlbh/OLab_IntanEphys
Electrophysiology Analysis Optimization using Intan Technologies -- by Baihan Lin with Olavarria Lab
doerlbh/OLab_patch_processor_3.0
doerlbh/pyrsa
Python library for Representational Similarity Analysis
doerlbh/scikit-learn
scikit-learn: machine learning in Python
doerlbh/smithsonian
doerlbh/tkMapper
tkMapper is a modification of Kepler-Mapper Python class for visualization of high-dimensional data and 3-D point cloud data, with introduction of time filtration -- by Baihan Lin with Rabadan Lab