A series of large language models developed by Baichuan Intelligent Technology

This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

🤖 A Python library for learning and evaluating knowledge graph embeddings

Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)

Instruct-tune LLaMA on consumer hardware

Gradient based hyperparameter optimization & meta-learning package for TensorFlow

A Pytorch Recommendation Framework with Implicit Feedback.

A graph transformer framework

(Personalized) Page-Rank computation using PyTorch

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

Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems

Behavioral "black-box" testing for recommender systems

Prod Env

A unified, comprehensive and efficient recommendation library

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

MSLearn sample code

🏅 KG Inductive Link Prediction Challenge (ILPC) 2022

Code for Research Project "Learning Discrete Structures with Graph Neural Networks"

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