J. Williford's repositories
seg-mnist-dataset
Generates segmentation examples from the MNIST and similar datasets.
segmentation-caffe
Caffe: a fast open framework for deep learning.
Adabelief-Optimizer
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
baseimage-deepo
A minimal Ubuntu base image modified for Docker-friendliness
caffe-help-web
»Feeling Responsive« is a flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.
caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework.
deep-visualization-toolbox
DeepVis Toolbox
dvtb-container
This is a docker container that encapsulates all of the annoying steps to get yosinski/deep-visualization-toolbox working
ezinstall
One-line install scripts for Torch.
FastMaskRCNN
Mask RCNN in TensorFlow
fbthrift
Facebook's branch of Apache Thrift, including a new C++ server.
fg-cortex-naturalscenes
Data associated with publication “Figure-ground organization in visual cortex for natural scenes.”
fg-natural-scenes-project-web
A Jekyll version of the Clean Blog theme by Start Bootstrap
FSL-scripts
Script-framework using FSL, Freesurfer and AFNI functionality for automatization and high-throughput processing of MRI data in clustered environments.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
git-demo
Awesome repository
imagenet-multiGPU.torch
an imagenet example in torch.
jekyll-pandoc
Jekyll Pandoc markdown converter as Ruby gem
nips17_adversarial_defense
Submission to https://www.kaggle.com/c/nips-2017-defense-against-adversarial-attack
nipype
Workflows and interfaces for neuroimaging packages
ResNeXt-in-tensorflow
This is an implementation of ResNeXt (by Xie et al.) in tensorflow
restructure-imagesets
Restructure the PASCAL VOC image datasets for ImageNet-style classification.
rombouts-augment
Implementation of simple AuGMEnT network example
seg-noh-caffe
modified version of caffe which support DeconvNet and DecoupledNet
STR_DeepRL
The primary goal of this course is to equip STR employees with fundamental RL understanding and RL software development skills to effectively contribute to RL programs at STR
tensorflow-models
Models built with TensorFlow
vipy
Visym Python Tools for Visual Dataset Transformation
weightnorm
Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks"