WBSLZF

WBSLZF's Stars

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66k56713134k

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  30.8k2.6k01.7k

• ZuodaoTech/everyone-can-use-english

  人人都能用英语

  Language:TypeScript25.5k2834073.8k

• OpenBMB/MiniCPM-V

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

  Language:Python13k106612906

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook12.6k95391.6k

• 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:HTML12.2k101231.3k

• datawhalechina/self-llm

  《开源大模型食用指南》针对**宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

  Language:Jupyter Notebook10.5k731891.2k

• SillyTavern/SillyTavern

  LLM Frontend for Power Users.

  Language:JavaScript9k621.7k2.6k

• xuchengsheng/spring-reading

  涵盖了 Spring 框架的核心概念和关键功能，包括控制反转（IOC）容器的使用，面向切面编程（AOP）的原理与实践，事务管理的方式与实现，Spring MVC 的流程与控制器工作机制，以及 Spring 中数据访问、安全、Boot 自动配置等方面的深入研究。此外，它还包含了 Spring 事件机制的应用、高级主题如缓存抽象和响应式编程，以及对 Spring 源码的编程风格与设计模式的深入探讨。

  Language:Java8.8k147321.1k

• Shaunwei/RealChar

  🎙️🤖Create, Customize and Talk to your AI Character/Companion in Realtime (All in One Codebase!). Have a natural seamless conversation with AI everywhere (mobile, web and terminal) using LLM OpenAI GPT3.5/4, Anthropic Claude2, Chroma Vector DB, Whisper Speech2Text, ElevenLabs Text2Speech🎙️🤖

  Language:JavaScript6k58134740

• p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

  PyTorch implementations of deep reinforcement learning algorithms and environments

  Language:Python5.7k106711.2k

• tmc/langchaingo

  LangChain for Go, the easiest way to write LLM-based programs in Go

  Language:Go5.2k44324672

• datawhalechina/llm-universe

  本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

  Language:Jupyter Notebook5.1k2356609

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook4.9k3763855

• luban-agi/Awesome-AIGC-Tutorials

  Curated tutorials and resources for Large Language Models, AI Painting, and more.

  4k292267

• wangshusen/DRL

  Deep Reinforcement Learning

  3.4k4255591

• datawhalechina/so-large-lm

  大模型基础: 一文了解大模型基础知识

  3.3k2229299

• Doragd/Algorithm-Practice-in-Industry

  搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

  Language:Python2.8k6058339

• zhpmatrix/nlp-competitions-list-review

  复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

  2.7k1177420

• wzhe06/SparrowRecSys

  A Deep Learning Recommender System

  Language:Python2.5k5733844

• MetaGLM/FinGLM

  FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。

  Language:HTML1.8k2730278

• zhongqiangwu960812/AI-RecommenderSystem

  该仓库尝试整理推荐系统领域的一些经典算法模型

  Language:Jupyter Notebook1.8k1410391

• zhougr1993/DeepInterestNetwork

  Language:Python1.6k4090559

• chenjiandongx/mandodb

  🤔 A minimize Time Series Database, written from scratch as a learning project. 从零开始实现一个 TSDB

  Language:Go69519577

• huangjunheng/recommendation_model

  练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等

  Language:Python56147124

• InteractiveNLP-Team/RoleLLM-public

  RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

  478111515

• datawhalechina/vced

  VCED 可以通过你的文字描述来自动识别视频中相符合的片段进行视频剪辑。该项目基于跨模态搜索与向量检索技术搭建，通过前后端分离的模式，帮助你快速的接触新一代搜索技术。

  Language:Python35242559

• zs8861/2D-Platform

  A 2D-Platform Tutotial

  Language:HTML35240116

• ydhuyong/DIN-pytorch

  Implementation based on pytorch for DIN recommendation algorithm

  Language:Python15325

• Huanghong2016/DIN-CODE

  解析din代码

  Language:Jupyter Notebook42