Best practice for training LLaMA models in Megatron-LM

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

An Open Source Machine Learning Framework for Everyone

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neu…

A user-friendly launcher for Bazel.

该仓库尝试整理推荐系统领域的一些经典算法模型

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Apache Spark - A unified analytics engine for large-scale data processing

TFRecord parser using C++ and Protocal Buffer

Library for fast text representation and classification.

TensorFlow code and pre-trained models for BERT

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

[ACL 2020] DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering

A TensorFlow Implementation of the Transformer: Attention Is All You Need

all kinds of text classification models and more with deep learning

some attention implements

Interpretable Click-through Rate Prediction through Hierarchical Attention

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

汉语自然语言处理视频教程-开源学习资料

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.