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xgboost_lr_ffm_hyperopt

xgrad-cam

xlearn

High performance, easy-to-use, and scalable machine learning package for Python and C++, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM).

xlearn0.44_sample

xlearn0.44 sample code for learnning

xlearning

AI on Hadoop

xlearning-xdml

extreame distributed machine learning

xplainer

Explainable AI made easy. Tool which enables developers to explore predictions of their deep learning models. Focused on image classification and TensorFlow 2+.

xrec

Models for explainable recommendation.

xtreme-distil-transformers

XtremeDistil framework for distilling/compressing massive multilingual neural network models to tiny and efficient models for AI at scale

xtremedistil

yahoo-answers-topic-classification-dataset

yahp

hyperparameter management

yolov3-channel-and-layer-pruning

yolov3 channel and layer pruning, Knowledge Distillation 层剪枝，通道剪枝，知识蒸馏

youtube-algorithmic-bias

To uncover the algorithmic biases exhibited by the YouTube content ranking and recommendation algorithms.

youtube-dl

Repository with the code of youtube-dl

youtubednn

Impementation paper "Deep Neural Networks for YouTube Recommendations"

ysaito-qiita

qiita記事用の実験ファイルや実装したツール群

yskip

Incremental Skip-gram Model with Negative Sampling

ytk-learn

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax, SVM).

zaexsearch

Metasearcher. Uses session detection features, and advanced search functionalities: Result diversification and pseudo relevance feedback over sessions.

zam

ZAM: Zero parameter Attention Module

zen

A BERT-based Chinese Text Encoder Enhanced by N-gram Representations

zoltar

Common library for serving TensorFlow, XGBoost and scikit-learn models in production.