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dl_pytorch

Code for the Deep Learning with PyTorch lesson

dl_tutorials

Deep learning tutorials (2nd ed.)

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

dml

R package for Distance Metric Learning

dml-1

Distance metric learning in Python

do-research-in-ai

A repository of useful research/skill-upgrading talks or acticles in NLP/CV/AI Area (in Chinese).

docker-rstats

Kaggle R docker image

doctools

Tools for formatting docs (tex/txt + bib)

dped

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks

dplm

Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices

draw_convnet

drawnn

Latex package to create neural network figures with tikz

drn

Dilated Residual Networks

ds000171

Openfmri Dataset ds000171: Scripts for preprocessing and modelling

dsbn_aistats2015

The Matlab Code for the AISTATS 2015 paper "Learning Deep Sigmoid Belief Network with Data Augmentation"

dsmo.course

Data Science and Matrix Optimization course

dtwclust

R Package for Time Series Clustering Along with Optimizations for DTW

dx-toolkit

DNAnexus platform client libraries

dynamicfunctionalconnectivity

Codes for dynamic functional connectivity on task and resting fMRI.

dynet

DyNet: The Dynamic Neural Network Toolkit

dynet_tutorial_examples

Tutorial on "Practical Neural Networks for NLP: From Theory to Code" at EMNLP 2016

earthmovdist

Earth Mover's Distance for R via the Emd-L1 library

eccentricity

implementation of eccentricity-dependent model for object recognition

edf-reader

Allows users to read EDF (.edf) EEG files in Matlab

edge-centric_demo

demo code edge-centric functional connectivity (eFC); Faskowitz et al. (2020)

edge_detection

The program implements Canny edge detection for the given input image, we will first smooth the images, then compute gradients, magnitude, and orientation of the gradient. This procedure is followed by non-max suppression, and finally hysteresis thresholding is applied to finalize the steps.

eeg-datasets

A list of all public EEG-datasets

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

efficientr

Efficient R programming: a book

emblem