Stars
Official PyTorch implementation of Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Lab materials for LH3: Measurement Layouts for Capability-Oriented AI Evaluation at AAAI-24 (Vancouver)
Must-read Papers on Knowledge Editing for Large Language Models.
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
AcadHomepage: A Modern and Responsive Academic Personal Homepage
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A Curated List of Must-read Papers on Recommender System.
A list of awesome papers and resources of recommender system on large language model (LLM).
✨✨Latest Advances on Multimodal Large Language Models
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit a…
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
LAVIS - A One-stop Library for Language-Vision Intelligence
Scrapped details of movielens100k dataset (descriptions, poster links, directors, casts, writers, reviews, age ratings, and movie lengths)
A unified, comprehensive and efficient recommendation library
This is a repository of public data sources for Recommender Systems (RS).
Large Language Model-enhanced Recommender System Papers
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
A Unified Python Library for Graph Prompting