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Building a quick conversation-based search demo with Lepton AI.
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…
The official GitHub page for the survey paper "A Survey of Large Language Models".
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
A framework for large scale recommendation algorithms.
Pytorch domain library for recommendation systems
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
A curated list of awesome Active Learning
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
Must-read papers on improving efficiency for pre-trained language models.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Pytorch implementation of the paper "Debiased Explainable Pairwise Ranking from Implicit Feedback".
Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Bidirectional Distillation for Top-K Recommender System (WWW 2021)
A curated list of awesome resources combining Transformers with Neural Architecture Search
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.