Nonparametric Modern Hopfield Models

This is the code of the paper Nonparametric Modern Hopfield Models. You can use this repo to reproduce the results of our method.

Environmental Setup

You can set up the experimental environment by running the following command line:

$ conda create -n env python=3.8
$ conda activate env
$ pip3 install -r requirements.txt

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
configs		configs
data/cifar-10-batches-py		data/cifar-10-batches-py
datasets		datasets
deeprc		deeprc
ref		ref
results		results
scripts		scripts
trainers		trainers
utils		utils
.DS_Store		.DS_Store
DATASET.md		DATASET.md
LICENSE		LICENSE
README.md		README.md
bit_pattern.ipynb		bit_pattern.ipynb
bit_pattern.py		bit_pattern.py
efficiency_main.py		efficiency_main.py
env_setup.ssh		env_setup.ssh
gitignore		gitignore
layers.py		layers.py
layers2.py		layers2.py
mnist_mil_main.py		mnist_mil_main.py
models.py		models.py
plot.py		plot.py
real_world_mil.py		real_world_mil.py
real_world_mil_main.py		real_world_mil_main.py
requirements.txt		requirements.txt
retrieval_main.py		retrieval_main.py
time_series_main.py		time_series_main.py
uni_var.py		uni_var.py