NKULYX

NKULYX's Stars

• 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:Python53.5k4461315.5k

• ymcui/Chinese-LLaMA-Alpaca

  中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

  Language:Python18.1k1857301.9k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  17.2k362241.4k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.7k384394.5k

• OpenBMB/MiniCPM-V

  MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

  Language:Python11.6k100493816

• ccfddl/ccf-deadlines

  ⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

  Language:Vue5.8k2078403

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook4.9k88646588

• shibing624/text2vec

  text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

  Language:Python4.4k30147392

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4k1175373

• llSourcell/Doctor-Dignity

  Doctor Dignity is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private.

  Language:Python3.8k5427405

• williamyang1991/VToonify

  [SIGGRAPH Asia 2022] VToonify: Controllable High-Resolution Portrait Video Style Transfer

  Language:Jupyter Notebook3.5k6571441

• THUDM/CogVLM2

  GPT4V-level open-source multi-modal model based on Llama3-8B

  Language:Python1.9k26162121

• InternLM/lagent

  A lightweight framework for building LLM-based agents

  Language:Python1.7k1760175

• williamyang1991/DualStyleGAN

  [CVPR 2022] Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

  Language:Jupyter Notebook1.6k28102249

• baaivision/Emu

  Emu Series: Generative Multimodal Models from BAAI

  Language:Python1.6k218584

• LeeSureman/Flat-Lattice-Transformer

  code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

  Language:Python1k13132178

• RUC-NLPIR/LLM4IR-Survey

  This is the repo for the survey of LLM4IR.

  39311033

• InternLM/Agent-FLAN

  [ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

  3164119

• wyu97/GenRead

  Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.

  Language:Python27513718

• RUC-GSAI/YuLan-Rec

  Language:Python26531717

• bytedance/lynx-llm

  paper: https://arxiv.org/abs/2307.02469 page: https://lynx-llm.github.io/

  Language:Python226868

• zjunlp/AutoAct

  [ACL 2024] AUTOACT: Automatic Agent Learning from Scratch for QA via Self-Planning

  Language:Python16118810

• djiajunustc/TransVG

  Language:Python15724126

• thunlp/RE-Context-or-Names

  Bert-based models(BERT, MTB, CP) for relation extraction.

  Language:Python10192322

• microsoft/deep-language-networks

  We view Large Language Models as stochastic language layers in a network, where the learnable parameters are the natural language prompts at each layer. We stack two such layers, feeding the output of one layer to the next. We call the stacked architecture a Deep Language Network - DLN

  Language:Python9010913

• RUC-GSAI/Yulan-GARDEN

  Official Repository for SIGIR2024 Demo Paper "An Integrated Data Processing Framework for Pretraining Foundation Models"

  Language:Python49277

• LlamaTouch/LlamaTouch

  [UIST 2024] LlamaTouch: A Faithful and Scalable Testbed for Mobile UI Task Automation

  Language:Python41324

• CrisJk/PA-TRP

  Code for TKDE paper "Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction"

  Language:Python9210

• Ching-Yee-Chan/LMVC

  110

• wbf1015/SADE

  A Semantic-aware Knowledge Distillation Framework for KGEs

  Language:Python1100