xnuohz

xnuohz's Stars

• kamranahmedse/developer-roadmap

  Interactive roadmaps, guides and other educational content to help developers grow in their careers.

  Language:TypeScript303k6.8k2.6k39.7k

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  67.1k849507k

• Stability-AI/generative-models

  Generative Models by Stability AI

  Language:Python24.9k2593112.8k

• THUDM/ChatGLM2-6B

  ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

  Language:Python15.7k1326161.9k

• assafelovic/gpt-researcher

  LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.

  Language:Python15.4k1313992.1k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.7k2968493.3k

• federico-busato/Modern-CPP-Programming

  Modern C++ Programming Course (C++03/11/14/17/20/23/26)

  Language:HTML12.4k145109840

• WooooDyy/LLM-Agent-Paper-List

  The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

  7k13914415

• NVIDIA/cuda-samples

  Samples for CUDA Developers which demonstrates features in CUDA Toolkit

  Language:C6.6k1212461.9k

• tensorchord/Awesome-LLMOps

  An awesome & curated list of best LLMOps tools for developers

  Language:Shell4.2k698406

• modelscope/data-juicer

  Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

  Language:Python3.2k19212191

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.7k39191378

• OpenBMB/CPM-Bee

  百亿参数的中英文双语基座大模型

  Language:Python2.7k35109215

• DLLXW/baby-llama2-chinese

  用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

  Language:Python2.6k1878317

• THUDM/AgentBench

  A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

  Language:Python2.3k28146169

• graphistry/pygraphistry

  PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

  Language:Python2.2k48324208

• LC1332/Chat-Haruhi-Suzumiya

  Chat凉宫春日, An open sourced Role-Playing chatbot Cheng Li, Ziang Leng, and others.

  Language:Jupyter Notebook1.9k1762170

• BBuf/how-to-optim-algorithm-in-cuda

  how to optimize some algorithm in cuda.

  Language:Cuda1.8k2610147

• tangxyw/RecSysPapers

  推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

  Language:Python1.4k581211

• CHIANGEL/Awesome-LLM-for-RecSys

  Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

  1.1k16761

• twitter-research/tgn

  TGN: Temporal Graph Networks

  Language:Python1k2633189

• deepmodeling/Uni-Mol

  Official Repository for the Uni-Mol Series Methods

  Language:Python74917177133

• ECNU-ICALK/EduChat

  An open-source educational chat model from ICALK, East China Normal University. 开源中英教育对话大模型。(通用基座模型，GPU部署，数据清理) 致敬: LLaMA, MOSS, BELLE, Ziya, vLLM

  Language:Jupyter Notebook735162379

• HKUDS/GraphGPT

  [SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

  Language:Python64778460

• pyg-team/pytorch-frame

  Tabular Deep Learning Library for PyTorch

  Language:Python590146558

• shenyangHuang/TGB

  Temporal Graph Benchmark project repo

  Language:Python19875436

• Tongjilibo/torch4keras

  bert4torch底层训练框架，用keras风格写torch代码

  Language:Python74314

• Tongjilibo/rec4torch

  推荐系统的pytorch算法实现

  Language:Python66303

• pinenuthome/pinenut

  a deep learning framework with define-by-run and gpu.

  Language:Python16104

• thupchnsky/dp-gnn

  DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)

  Language:Python10102