Pinned Repositories
abcpy
ABCpy package
agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
art
Adaptive Resonance Theory models
ART-julia
adaptive resonance theory
basic_functions
Here I maintain a handful of basic Python 3 functions, that are useful in multiple projects of mine.
common_functions
Some common functions in my projects.
MINERVA
A Python implementation of MINERVA, a memory system developed since 1980s by Hintzman, coworkers and followers.
pySVRT
SVRT-by-Sasquatch
vonmises-analysis
yihe-61wu's Repositories
yihe-61wu/abcpy
ABCpy package
yihe-61wu/MINERVA
A Python implementation of MINERVA, a memory system developed since 1980s by Hintzman, coworkers and followers.
yihe-61wu/pySVRT
yihe-61wu/SVRT-by-Sasquatch
yihe-61wu/agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
yihe-61wu/art
Adaptive Resonance Theory models
yihe-61wu/ART-julia
adaptive resonance theory
yihe-61wu/basic_functions
Here I maintain a handful of basic Python 3 functions, that are useful in multiple projects of mine.
yihe-61wu/common_functions
Some common functions in my projects.
yihe-61wu/vonmises-analysis
yihe-61wu/dartbrains
This repository is a Python package with all of the functions and python libraries required for the Dartmouth fMRI Analysis Course taught by Prof Luke Chang, PhD.
yihe-61wu/generalising-structural-knowledge
yihe-61wu/HerdedGibbs
L. M. Wolf and M. Baum, "Deterministic Gibbs Sampling for Data Association in Multi-Object Tracking"
yihe-61wu/hexo-theme-cactus
:cactus: A responsive, clean and simple theme for Hexo.
yihe-61wu/hexo-theme-next-new
🎉 Elegant and powerful theme for Hexo.
yihe-61wu/hexo-theme-next-old
Elegant and powerful theme for Hexo.
yihe-61wu/inhibitory_feedback_network
yihe-61wu/NEAT
NEAT (NEural Analysis Toolkit)
yihe-61wu/pyESN
Echo State Networks in Python
yihe-61wu/restricted-boltzmann-machines
Restricted Boltzmann Machines in Python.
yihe-61wu/sparse-evolutionary-artificial-neural-networks
Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
yihe-61wu/SVRT-by-Adaboost
Adaboost for SVRT.
yihe-61wu/SVRT-by-GAT
Graph Attention Networks for SVRT.
yihe-61wu/SVRT-by-RN
Relational Networks for SVRT.
yihe-61wu/yihe-61wu.github.io