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deep_learning_estimator_labels

深度学习，针对多目标任务，在推荐算法的ctr预估等场景中的应用，项目使用tensorflow estimator进行封装，包括esmm、mmoe模型

deep_neural_networks_for_youtube_recommendations

根据deep_neural_networks_for_youtube_recommendations文章用tensorflow搭建dnn，然后用org.tensorflow加载模型并用spark预测

deeprec-1

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

deeprecommender

Deep learning for recommender systems

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

deepspeech-1

A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.

deepspeech.pytorch

Speech Recognition using DeepSpeech2.

deepspeechrecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

deepspeed

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

deeputteranceaggregation

Code and sample data accompanying our COLING 2018 paper: Modeling Multi-turn Conversation with Deep Utterance Aggregation

delu

Deep Learning Utilities for PyTorch users (old name: Zero)

density-peaks-clustering

a java implementation for 'Clustering by fast search and find of density peaks' in science 2014.

densitypeakcluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

der-cfr

dfn

Deep Feedback Network for Recommendation

dfsmn

Tensorflow version of DFSMN

dialog-system-with-task-retrieval-and-seq2seq

「2018 JDDC」 对话大赛亚军解决方案

disco-diffusion-local

只要是Windows系统，3G以上显存的英伟达显卡，下载解压就能直接用，什么环境都不用配置

distributed-tensorflow-guide

Distributed TensorFlow basics and examples of training algorithms

dk-help-your-kids-with-computer-coding

Examples and revisions for DK's 'Help Your Kids with Computer Coding'

dl4j-examples

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

dlrm

An implementation of a deep learning recommendation model (DLRM)

dmlc-core

A common bricks library for building scalable and portable distributed machine learning.

docker-py

A Python library for the Docker Engine API

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

easyrec

A framework for large scale recommendation algorithms.

elasticsearch-analysis-ansj

elasticsearch-analysis-ik

The IK Analysis plugin integrates Lucene IK analyzer into elasticsearch, support customized dictionary.

elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

electricity_price_time_series_analysis

This project pulls electricity price data from the EIA API, and then performs time series analysis on it, including time series decomposition and vector autoregression for forecasting.