daypu

daypu's Stars

• ollama/ollama

  Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.

  Language:Go129k10.6k

• DA-southampton/NLP_ability

  总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

  Language:Python7.1k1.2k

• huggingface/peft

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

  Language:Python17.5k1.8k

• exelban/stats

  macOS system monitor in your menu bar

  Language:Swift29.5k944

• toeverything/AFFiNE

  There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.

  Language:TypeScript46k3k

• deepseek-ai/DeepSeek-R1

  82k10.6k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python15.9k1.5k

• HKUDS/MiniRAG

  "MiniRAG: Making RAG Simpler with Small and Free Language Models"

  Language:Python75990

• GasolSun36/NanoRAG

  Simple implementation of Retrieval-Augmented Generation System

  Language:Python21

• filip-michalsky/SalesGPT

  Context-aware AI Sales Agent to automate sales outreach.

  Language:HTML2.2k475

• shyoulala/LMSYS_BlackPearl

  Language:Python5926

• naginoa/LLMs_interview_notes

  LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

  458114

• km1994/LLMs_interview_notes

  该仓库主要记录 大模型（LLMs） 算法工程师相关的面试题

  1.7k120

• 1Panel-dev/MaxKB

  💬 Ready-to-use & flexible RAG Chatbot, supporting mainstream large language models (LLMs) such as DeepSeek-R1, Llama 3.3, Qwen2, OpenAI, and more.

  Language:Python13.9k1.8k

• chatchat-space/Langchain-Chatchat

  Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and Llama) RAG and Agent app with langchain

  Language:TypeScript33.7k5.7k

• deepseek-ai/DeepSeek-V3

  Language:Python88.8k14.3k

• CyC2018/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

  179k51.2k

• changgyhub/leetcode_101

  LeetCode 101：力扣刷题指南

  9.2k1.2k

• Vay-keen/Machine-learning-learning-notes

  周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

  7.4k1.9k

• familyld/Machine_Learning

  周志华《机器学习》阅读笔记

  Language:Jupyter Notebook404144

• Relph1119/MachineLearning-WatermelonBook

  周志华-机器学习

  Language:Jupyter Notebook27366

• fengdu78/lihang-code

  《统计学习方法》的代码实现

  Language:Jupyter Notebook19.2k6.3k

• Mikoto10032/DeepLearning

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

  Language:Jupyter Notebook15.2k3.7k

• shyoulala/Kaggle_Eedi_2024_sayoulala

  kaggle 2024 Eedi 第10名 金牌方案

  Language:Jupyter Notebook277

• jordanbaird/Ice

  Powerful menu bar manager for macOS

  Language:Swift16.9k299

• microsoft/markitdown

  Python tool for converting files and office documents to Markdown.

  Language:HTML39k1.8k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python39.3k5.9k

• sve1r/Rules-For-Quantumult-X

  适用于 Quantumult X 规则整理集合. 所有内容源自 互联网,仅作为收集和整理

  Language:JavaScript3.4k359

• ayaka-notes/201-english

  考研英语的Latex汇编，2001-2023年的英语一的真题

  Language:TeX193

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML14.6k1.7k