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deconvolution_cam

decorators

decorators examples

decorators-descriptors

Resources for "Decorators and Descriptors Decoded" PyCon US 2017 Tutorial

decorrelatedbn

Code for Decorrelated Batch Normalization

dedupe

:id: A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution.

dedupe-examples

:id: Examples for using the dedupe library

dedupe-geocoder

:round_pushpin: Demonstration of how dedupe might be used as geocoder

dedupe-variable-fuzzycategory

Dedupe Variable for Fuzzy Categories

dedupe-vowpal

Vowpal Wabbit Active Labeler for Dedupe

deep-algotrading

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

deep-anpr

Using neural networks to build an automatic number plate recognition system

deep-autonomous-driving-papers

A curated list of papers of deep learning in autonomous driving papers :oncoming_automobile:

deep-bayesian-active-learning

Code for Deep Bayesian Active Learning (ICML 2017)

deep-belief-network

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

deep-belief-network-1

deep-belief-network-pytorch

This repository has implementation and tutorial for Deep Belief Network

deep-belief-networks-tensorflow

Tensorflow implementation of a Deep Belief Network on MNIST

deep-cca

Deep Canonical Correlation Analysis (DCCA) implementation using Theano

deep-code-search

DeepCS: Deep Code Search

deep-columnar-convolutional-neural-network

Deep Columnar Convolutional Neural Network architecture, which is based on Multi Columnar DNN (Ciresan 2012).

deep-compression-alexnet

Deep Compression on AlexNet

deep-coref

deep-crf

An implementation of Conditional Random Fields (CRFs) with Deep Learning Method

deep-ctr

An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

deep-deep

Adaptive crawler which uses Reinforcement Learning methods

deep-dmr

Implementation of Deep Dirichlet Multinomial Regression in python + cython.

deep-docker

Dockerfile for creating a docker image with default configurations for Deep Learning tasks

deep-dream

Deep Dream implementation in Keras

deep-energy-based-policy-learning

Topics in ML project

deep-ensemble-uncertainty

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