This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.

Awesome lists about framework figures in papers

《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

adds Sequence Parallelism into LLaMA-Factory

Official PyTorch Implementation of MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training.

Welcome to the Table Meets LLM repository!

RAG Pipeline for IE tasks

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, le…

A comprehesive survey about foundation models for weather and cliamte data understanding.

Convert PDF to markdown + JSON quickly with high accuracy

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.

Official Code of our AAAI-24 Paper: "Generative Multi-modal Knowledge Retrieval with Large Language Models".

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

Literature Survey of Information Extraction, especially Relation Extraction, Event Extraction, and Slot Filling.

A curated list of papers about key information extraction.

Class-Incremental Learning: A Survey (TPAMI 2024)

A paper list of our recent survey on continual learning, and other useful resources in this field.

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

awesome-multimodal-named-entity-recognition

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…