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dice

Generate Diverse Counterfactual Explanations for any machine learning model.

dien-pipline

DIEN-pipline implement

difacto2_ffm

Distributed Fieldaware Factorization Machines based on Parameter Server

diffusion-like-recommendations-matlab

Diffusion-like recommendation algorithms: Mass Diffusion (MD), Heat Conduction (HC), Hybrid of MD and HC (HHP), Bias HC (BHC) and Balanced Diffusion (BD)

diffusion-tensorflow

Tensorflow implementations of Diffusion models (DDPM, DDIM)

dig

A library for graph deep learning research

dilf

Framework for Incremental Learning in Deep Learning using TensorFlow

din_tf_eager

An implementation of Deep Interest Network on TensorFlow eager

dingdong-helper

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dips

NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation

disan

Code of Directional Self-Attention Network (DiSAN)

discrete-continuous-bdl

Uncertainty Quantification of Disctete-Continuous Distribution with Bayesian Deep Learning in KDD 2018

disengraphrep

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

distant-supervised-chinese-relation-extraction

基于远监督的中文关系抽取

distant_supervised_slot_filling

distil-mi-ranking

D3M primitive that ranks features relative to a selected target using pairwise mutual information scoring

distillation_privileged_information

Code for "Unifying distillation and privileged information" (ICLR 2016).

distilled-retriever-pytorch

Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"

distilled-sentence-embedding

Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (AAAI 2020) - PyTorch Implementation

distilledneuralresponseranker

Implementation of "Distilling Knowledge for Fast Retrieval-based Chat-bots" (SIGIR 2020) using deep matching transformer networks and knowledge distillation for response retrieval in information-seeking conversational systems.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

distributed-ffm

FFM implemented in a parameter server like way.

distributed-reinforcement-learning

Single-machine implementations of distributed reinforcement learning algorithms with Ray and PyTorch

distributed_framework

python通用分布式函数调度框架 pip install function_scheduling_distributed_framework

distributed_reinforcement_learning

implementation of distributed reinforcement learning with distributed tensorflow

distributed_tutorial

distributedsgdray

distributedwekaspark

Weka on Spark

distribution-is-all-you-need

The basic distribution probability Tutorial for Deep Learning Researchers