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dask_gdf

Dask support for distributed GDF object

deep-learning

Collection of deep learning resources.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepbench

Benchmarking Deep Learning operations on different hardware

deepframeworks

Evaluation of Deep Learning Frameworks

deeplearning_virtualreality_bigdata_project

Analysis of Deep Learning source codes like Tensorflow etc.

deeprm

deepspark

Deeplearning framework running on Spark

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

deepstream_python_apps

A project demonstrating use of Python for DeepStream sample apps given as a part of SDK (that are currently in C,C++).

dist-keras

Distributed deep learning with Keras and Apache Spark.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

dltk

Deep Learning Toolkit for Medical Image Analysis

drizzle-spark

Drizzle integration with Apache Spark

edt-demo

elasticdl

Kubernetes-native Deep Learning Framework

elephas

Distributed Deep learning with Keras & Spark

elf

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

emukit

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

ffdynamic

Library with dynamic audio/video composition and runtime control

firstcontactwithtensorflow

This repository contains the information required by the TensorFlow Hands-on at Summer Seminar ETSETB TelecomBCN, 4-8 July 2016

firtree

geeps

GPU-specialized parameter server for GPU machine learning.

glaucus

A general data-flow-based machine learning suit combining auto machine learning and multiple simplified machine learning algorithm for unprofessional data scenitists

glint

Glint: High performance scala parameter server

goptuna

Distributed bayesian optimization framework, inspired by Optuna.

gpu

Materials for the Iowa State University Statistics Department fall 2012 lecture series on general purpose GPU computing.