⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

A collection of LogitsProcessors to customize and enhance LLM behavior for specific tasks.

LLM Finetuning with peft

Public repo for HF blog posts

手搓Llama，个人学习用

The official Meta Llama 3 GitHub site

《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

State-of-the-Art Text Embeddings

Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Fast and memory-efficient exact attention

Code for ALBEF: a new vision-language pre-training method

Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.

A series of math-specific large language models of our Qwen2 series.

Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models

How to use wandb?

PECOS - Prediction for Enormous and Correlated Spaces

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs

Prompt Tuning on Graph-augmented Low-resource Text Classification. In TKDE 2024.

Benchmark

The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.

Code for our paper "ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt"

Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023

骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技