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2019summer_secureml

SecureML Introduction

2i_bench

The code for the experiments in the paper "Techniques for Inverted Index Compression" by Giulio Ermanno Pibiri and Rossano Venturini. ACM Computing Surveys (CSUR).

a-_guide_-to_data_sciecne_from_mathematics

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

a-dynamic-meta-learning-model-for-time-sensitive-cold-start-recommendations

A novel dynamic recommendation model that focuses on users who have interactions in the past but turn relatively inactive recently

a-gcn-based-on-a-seq2seq-model

a-visual-attention-grounding-neural-model

The code repository for our multimodal machine translation project: A Visual Attention Grounding Neural Netowork

aaai-2021-counterfactuals

aae-recommender

Adversarial Autoencoders for Recommendation Tasks

abacode

Code for our ICDMW 2018 paper: "Contextual Bandit with Adaptive Feature Extraction".

abele

Adversarial Black box Explainer generating Latent Exemplars

abtesting

Papers and Resources on running A/B Experiments

acam-model

It is deep recommendation model with attribute-level co-attention

accelerator

Code for my data science accelerator project

active-learning

active-ner

Bayesian Deep Active Learning for Named entity recognition (NER)

activebias

actordb

Actor Database System Framework using Akka

actordb-paper

Paper about https://github.com/CodeLionX/actordb, published in the BTW 2019 – Workshopband

ad-paper

ad-reading

跟踪计算广告涉及的召回排序模型、特征工程相关的经典论文

ada_sls

adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adanet

Fast and flexible AutoML with learning guarantees.

adaptive-gradient-clipping

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

ader

RecSys 2020 Paper

adlik

Adlik: Toolkit for Accelerating Deep Learning Inference

adlstream

Asynchronous dual-pipeline deep learning framework for online data stream mining

admm-spark

Implementation of ADMM algorithm on Apache Spark

admmlrspark

ADMM Logistic Regression implemented in Spark

adops

Useful ad ops algorithms to run more efficient optimizations, check bid ratios on SSPs, and verify what publishers have implemented ads.txt