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deap

Distributed Evolutionary Algorithms in Python

deaplearningtoolbox_matlab

Deep Learning Toolbox in Matlab

decaf

Replication of DeCAF paper's experiments for transfer learning

decision-trees

In this project we'll try to implement and learn about decision trees the in artificial intelligence subject KRU (Knowledge, reasoning and uncertainty or in Catalan, a region from Spain we are living: Coneixement, raonament i incertesa).

deckard

Code clone detection; clone-related bug detection; sematic clone analysis

decnet-scripts

Scripts and personal models for DecoupledNet

deconv3d

An implementation of a MCMC with MH within Gibbs for the estimation and non-parametric deconvolution of galactic kinematics from hyperspectral data cubes.

deconvnet

DeconvNet : Learning Deconvolution Network for Semantic Segmentation

decoupledfpn

a detection network use DecoupledNet DeformableNet CliqueNet ScaleFPN Attention

decouplednet

DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

decouplednet-1

My testing and work with DNI (Decoupled Neural Interface) network

deep-active-learning

Deep Active Learning

deep-belief-network

A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility

deep-cooc

Deep Co-occurrence Feature Learning for Visual Object Recognition (CVPR 2017)

deep-ensemble-uncertainty

An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)

deep-ensembles-uncertainty

My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"

deep-forest

An on going implementation of the gcForest algorithm

deep-label-propagation

deep-learning

Collection of deep learning resources.

deep-learning--image-classification-using-artificial-neural-networks

deep-learning-1

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-by-matlab

deep-learning-exercises

Exerises and Tutorials completed from Stanford's UFLDL website at http://deeplearning.stanford.edu/tutorial/

deep-learning-experiments

Solutions to Standford's deep learning tutorial

deep-learning-for-hsi-classification

HSI classification

deep-learning-for-tracking-and-detection

Collection of papers and other resources for object tracking and detection using deep learning

deep-learning-in-r-using-keras-and-tensorflow-

Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-models

Keras code and weights files for popular deep learning models.