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

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

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"

Unified Training of Universal Time Series Forecasting Transformers

An Open-sourced Knowledgable Large Language Model Framework.

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

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

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

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

Official repository for "Craw4LLM: Efficient Web Crawling for LLM Pretraining"

[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

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

Multi-modality pre-training

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

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

[NeurlPS D&B 2024] Generative AI for Math: MathPile

Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.

The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

One-click training of your own GPT. Training a GPT has never been easier for beginners. / 一键预训练+SFT一个属于自己的LLM，0基础训练GPT原来可以这么简单？

Paper List of Pre-trained Foundation Recommender Models

[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)

[CVPR 2024 Highlight] Visual Point Cloud Forecasting