yanyi74

yanyi74

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Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Stargazers:10720Issues:0Issues:0

hello-algo

《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing

Language:JavaLicense:NOASSERTIONStargazers:87756Issues:0Issues:0

DecryptPrompt

总结Prompt&LLM论文,开源数据&模型,AIGC应用

Stargazers:2421Issues:0Issues:0

classifier-multi-label

多标签文本分类,多标签分类,文本分类, multi-label, classifier, text classification, BERT, seq2seq,attention, multi-label-classification

Language:PythonStargazers:643Issues:0Issues:0

IE-Survey

北京航空航天大学大数据高精尖中心自然语言处理研究团队对信息抽取领域的调研。包括实体识别,关系抽取,属性抽取等子任务,每类子任务分别对学术界和工业界进行调研。

Stargazers:451Issues:0Issues:0

dreeam

source code for {D}ocument-level {R}elation {E}xtraction with {E}vidence-guided {A}ttention {M}echanism

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xFinder

xFinder: Robust and Pinpoint Answer Extraction for Large Language Models

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aligner

Achieving Efficient Alignment through Learned Correction

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awesome-rlhf

An index of algorithms for reinforcement learning from human feedback (rlhf))

License:Apache-2.0Stargazers:76Issues:0Issues:0

trl

Train transformer language models with reinforcement learning.

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WPO

Code and models for paper "WPO: Enhancing RLHF with Weighted Preference Optimization"

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Online-RLHF

A recipe for online RLHF.

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Data-centric_multimodal_LLM

Survey on Data-centric Large Language Models

Stargazers:51Issues:0Issues:0

SynthIE

The data and the PyTorch implementation for the models and experiments in the paper "Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction".

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AutoGPT

An experimental open-source attempt to make GPT-4 fully autonomous.

License:MITStargazers:1Issues:0Issues:0

MoE-LLaVA

Mixture-of-Experts for Large Vision-Language Models

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HA-DPO

Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization

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CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Stargazers:173796Issues:0Issues:0

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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llm-action

本项目旨在分享大模型相关技术原理以及实战经验。

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

License:NOASSERTIONStargazers:25866Issues:0Issues:0

RAG-Retrieval

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT,Cross Encoder

Language:PythonLicense:MITStargazers:370Issues:0Issues:0

new-pac

翻墙-科学上网、自由上网、免费科学上网、免费翻墙、油管youtube、fanqiang、VPN、一键翻墙浏览器,vps一键搭建翻墙服务器脚本/教程,免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点,翻墙梯子,电脑、手机、iOS、安卓、windows、Mac、Linux、路由器翻墙、科学上网

Stargazers:53259Issues:0Issues:0

SciGLM

SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning

Language:PythonStargazers:61Issues:0Issues:0

DocRE-reading-list

a paper reading list on Document level Relation Extraction

Stargazers:59Issues:0Issues:0

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

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KnowCoder

Official Repo of paper "KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction". In the paper, we propose KnowCoder, the most powerful large language model so far for universal information extraction.

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PaperReading

每天阅读过的论文的简要笔记

Stargazers:174Issues:0Issues:0

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

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LLM-from-scratch

一些 LLM 方面的从零复现笔记

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:81Issues:0Issues:0