sepiabrown Goto Github PK

.config_nixpkgs

.emacs.d_private_backup

Spacemacs additional files

.spacemacs.d

21hw.github.io

temp cv

accelerate

Embedded language for high-performance array computations

accelerate-blas

BLAS and LAPACK operations for Accelerate

accelerate-llvm

LLVM backend for Accelerate

accelerate-llvm-mangoiv

awesome-beamer

Creating presentation slides by using Beamer in LaTeX.

bayesian-dl-experiments_ronaldseoh

Bayesian deep learning experiments

biclustlib

A Python library of biclustering algorithms, evaluation measures and datasets.

blog-resources

Extra resources for Tweag's blog posts.

caffe

Caffe: a fast open framework for deep learning.

caffemodel2pytorch

Convert Caffe models to PyTorch

chrome-remote-desktop

cim

Common Input Method API

cloudref

CloudRef - collaboratively managing references in the cloud

code_for_class

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

decrel

deep-bayesian-active-learning

Code for Deep Bayesian Active Learning (ICML 2017)

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

doomemacs

An Emacs framework for the stubborn martian hacker

dotfiles

dropgat

Dropout as a bayesian approximation on graph attention network

dropout_tutorial_in_pytorch

Dropout as Regularization and Bayesian Approximation

dropoutuncertaintycaffemodels

Dropout As A Bayesian Approximation: Code

dropoutuncertaintyexps_ronaldseoh

(Forked Version) Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

emacs-ipython-notebook

Jupyter notebook client in Emacs