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

欢迎来到 "LLM-travel" 仓库！探索大语言模型（LLM）的奥秘 🚀。致力于深入理解、探讨以及实现与大模型相关的各种技术、原理和应用。

该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

大模型基础: 一文了解大模型基础知识

Transformer: PyTorch Implementation of "Attention Is All You Need"

Official Inplementation of CVPR23 paper "Backdoor Defense via Deconfounded Representation Learning"

Released code and datas for「Multi-modal Stance Detection: New Datasets and Model」in ACL2024.

[NeurIPS'24] Protecting Your LLMs with Information Bottleneck

MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务（文本分类、信息抽取、知识图谱、机器翻译、问答系统、文本生成、Text-to-SQL、文本纠错、文本挖掘、知识蒸馏、模型加速、OCR、TTS、Prompt、embedding等），所有代码都经过测试,可以正常运行。

This repository contains code to evaluate various multimodal large language models using different instructions across multiple multimodal content comprehension tasks.

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

ACL 2023 (Findings) : DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

Code for our ICLR 2024 paper "PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts"

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reverse engineered ChatGPT API

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

A multi-element multi-domain dataset for Aspect-Based Sentiment Analysis

✨✨Latest Advances on Multimodal Large Language Models

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

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

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

A list of Graph Causal Learning materials.

Code Implementation of "Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction".