kiminh Goto Github PK

dcmtl

dcn

Dynamic Connected Networks for Chinese Spelling Check

ddia

《Designing Data-Intensive Application》DDIA中文翻译

ddls

DDLS is a parameter server based Distributed Deep Learning Studio for training deep learning models on Big Data with a numbers of machines and deploying high-performance online model service

ddparser

百度开源的依存句法分析系统

ddpg-portfolio-management

Build DDPG models and test on stock market

ddtcdr

This is our implementation for the paper: Pan Li and Alexander Tuzhilin. "DDTCDR: Deep Dual Transfer Cross Domain Recommendation." Proceedings of the 13th International Conference on Web Search and Data Mining. 2020

deap

Distributed Evolutionary Algorithms in Python

deberta

飞浆论文复现

debias

Methods of training NLP models to ignored biased strategies

debias-ml

A practical, explainable and effective method for reducing bias in machine learning algorithms.

debiased

Learn models that are robust to spurious correlations in the dataset.

debiasinrec

decaf

DECAF: Deep Extreme Classification with Label Features

decoding-biases

Scripts to evaluate various bias metrics for different NLG models + decoding algorithms

deconstructing-lottery-tickets

deebert

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference

deep-compression

Compress neural network with pruning and quantization using TensorFlow.

deep-ctr-model

deep-ctr-prediction

deep-ctr-prediction

deep-finance

Deep Learning for Finance

deep-hedging

deep-hierarchical-interest-network-for-click-through-rate-prediction

deep-image-retrieval

End-to-end learning of deep visual representations for image retrieval

deep-learning-based-recommender-systems

ETH Deep Learning 2019 team project

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-for-recommender-systems

Deep Learning for Recommender Systems

deep-metric-learning

deep-mutual-learning

Implementation of Deep Mutual Learning by Pytorch to do classification on cifar100.

deep-q-learning-paper-to-code