Contextual Bandit Spectral Representation Learner

Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

Python bindings for RocksDB

This Repository includes recent papers (RecSys, SIGIR, WWW, etc.) related to the Recommender Systems

SSDB - A fast NoSQL database, an alternative to Redis

A library that provides an embeddable, persistent key-value store for fast storage.

neural variational document model

allRank is a framework for training learning-to-rank neural models based on PyTorch.

데이터분석, 그로스와 관련된 내용 정리 및 페이퍼 요약

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Framework for Interactive Evaluation of Recommender Systems

Tensorflow Wheels

Python Implementation of Hyper LogLog and Sliding Hyper LogLog algorithms

Sentence Embeddings using Siamese SKT KoBERT-Networks

Pretrained Language Models for Korean

Python package built to ease deep learning on graph, on top of existing DL frameworks.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Context and Attribute-Aware Sequential Recommendation via Cross-Attention, RecSys 2022

a multitask ranking system

Variational autoencoders for collaborative filtering

Best Practices on Recommendation Systems

TensorFlow implementation of word2vec

A Skip-Gram model of Word2vec implemented in pytorch.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Paper list of NLP for recommender systems

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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…

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)