Pinned Repositories
2020AprilGitCourse
this repo supports the April 2020 git and GitHub course held "at" Janelia
AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
bootcamp
Caltech Introduction to Programming for the Biological Science Bootcamp
bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
code_snippets
deepul
fast-pixel-cnn
Speed up PixelCNN++ image generation by up to a 183 times
kyoto_natim
Kyoto Natural Image Dataset
paper-behavior
The International Brain Laboratory et al. (2020) A standardized and reproducible method to measure decision-making in mice. bioRxiv, 909838
probmods2
probmods 2: electric boogaloo
eizaburo-doi's Repositories
eizaburo-doi/kyoto_natim
Kyoto Natural Image Dataset
eizaburo-doi/2020AprilGitCourse
this repo supports the April 2020 git and GitHub course held "at" Janelia
eizaburo-doi/AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
eizaburo-doi/bootcamp
Caltech Introduction to Programming for the Biological Science Bootcamp
eizaburo-doi/bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
eizaburo-doi/code_snippets
eizaburo-doi/deepul
eizaburo-doi/fast-pixel-cnn
Speed up PixelCNN++ image generation by up to a 183 times
eizaburo-doi/paper-behavior
The International Brain Laboratory et al. (2020) A standardized and reproducible method to measure decision-making in mice. bioRxiv, 909838
eizaburo-doi/probmods2
probmods 2: electric boogaloo
eizaburo-doi/psytrack
eizaburo-doi/python-practice
eizaburo-doi/pytorch-made
MADE (Masked Autoencoder Density Estimation) implementation in PyTorch
eizaburo-doi/TextAnalytics
Text Analytics Jupyter Notebook example for the Azure cognitive service