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Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
我的 ComfyUI 工作流合集 | My ComfyUI workflows collection
animatediff prompt travel
Official code for "Binary embedding based retrieval at Tencent"
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
《Effective Modern C 》- 完成翻译
HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
带有详细注释的 Redis 3.0 代码（annotated Redis 3.0 source code）。
Implement the Pareto Optimizer and pcgrad to make a self-adaptive loss for multi-task
This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention
This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).
Modern C Programming Course (C 03/11/14/17/20/23/26)
Lightning fast C /CUDA neural network framework
Fast, efficiently stored Trie for Python. Uses libdatrie.
A collection of GNN-based fake news detection models.
A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
Representation learning on large graphs using stochastic graph convolutions.
This repository collects debiasing methods for recommendation