The official GitHub page for the survey paper "A Survey of Large Language Models".

Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs. (LLM: Qwen2.5, Llama3.2, GLM4, Internlm2.5, Yi1.5, Mistral, Baichuan2, DeepSeek, ...; MLLM: Qwen2-VL, Qwen2-Audio, Llama3.2-Vision, Llava, InternVL2.5, MiniCPM-V-2.6, GLM4v, Xcomposer2.5, Yi-VL, DeepSeek-VL, Phi3.5-Vision, ...)

Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

An Open-sourced Knowledgable Large Language Model Framework.

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

Oscar and VinVL

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

Unified Training of Universal Time Series Forecasting Transformers

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

Large Language Model-enhanced Recommender System Papers

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"