yinhanyan

This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), which has been accepted by WSDM2022.

Language:Python12600

Non-Homophily-Large-Scale

[NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

Language:Python11200

PGL

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

Language:PythonApache-2.0156400

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Language:PythonMIT1013600

ToolBench

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

Language:PythonApache-2.0470400

frequent-directions

Implements the frequent directions algorithm for approximating matrices in streams

Language:Python3200

RecBole

A unified, comprehensive and efficient recommendation library

Language:PythonMIT331000

chatglm.cpp

C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & GLM4(V)

Language:C++MIT288100

ChatKBQA

[ACL 2024] Official resources of "ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models".

Language:PythonMIT24000

ChatGLM3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

Language:PythonApache-2.01327100