Glovesme

Glovesme's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python170k44.7k

• zhayujie/chatgpt-on-wechat

  基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

  Language:Python32.3k8.4k

• SALT-NLP/Efficient_Unlearning

  Language:Python361

• xianshang33/llm-paper-daily

  Daily updated LLM papers. 每日更新 LLM 相关的论文，欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个

  1k43

• XiaoxinHe/G-Retriever

  Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""

  Language:Python36564

• mit-han-lab/llm-awq

  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

  Language:Python2.6k217

• gmftbyGMFTBY/Copyisallyouneed

  [ICLR 2023] Codebase for Copy-Generator model, including an implementation of kNN-LM

  Language:Python18422

• Princeton-SysML/kNNLM_privacy

  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888

  Language:Python363

• ZhengxiangShi/DePT

  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"

  Language:Python9516

• csinva/tree-prompt

  Tree prompting: easy-to-use scikit-learn interface for improved prompting.

  Language:Jupyter Notebook354

• yzhangcs/ctc-copy

  [EMNLP'23] Code for "Non-autoregressive Text Editing with Copy-aware Latent Alignments".

  Language:Python194

• acbull/GPT-GNN

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

  Language:Python49088

• yaochenzhu/LLM4Rec

  (WWW'24) The first RS that tightly combines LLM with ID-based RS.

  Language:Python12114

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.8k1.7k

• THUDM/ChatGLM3

  ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

  Language:Python13.6k1.6k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python14.9k1.4k

• xjtuwgt/GNN-MAGNA

  Language:Python519

• PeterGriffinJin/Heterformer

  Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks (KDD 2023)

  Language:Jupyter Notebook214

• PeterGriffinJin/Patton

  Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)

  Language:Python251

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.8k1.3k

• Chrystalii/CERec

  Language:Python112

• dongyuanjushi/LightLM

  Language:Python222

• orcax/PGPR

  Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

  Language:Python26972

• pd90506/AMCF

  Explainable recommendation via interpretable feature mapping

  Language:Python186

• formulahendry/955.WLB

  955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

  34.8k1.8k

• labmlai/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, ... 🧠

  Language:Python57.6k5.9k

• Joinn99/ExpGCN

  PyTorch implementation of our paper "Review-aware Graph Convolution Network for explainable recommendation"

  Language:Python102

• yxuansu/SimCTG

  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

  Language:Python46840

• eth-sri/language-model-arithmetic

  Controlled Text Generation via Language Model Arithmetic

  Language:Python21415

• PeterGriffinJin/Edgeformers

  Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (ICLR 2023)

  Language:Python586