wangbosdqd's Stars
ctlllll/LLM-ToolMaker
bhargaviparanjape/language-programmes
biliup/biliup-app
b站全平台投稿客户端,支持多p投稿,稿件编辑
JushBJJ/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
promptslab/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
DSXiangLi/DecryptPrompt
总结Prompt&LLM论文,开源数据&模型,AIGC应用
aws-samples/private-llm-qa-bot
ProfSynapse/Synapse_CoR
Loyalsoldier/clash-rules
🦄️ 🎃 👻 Clash Premium 规则集(RULE-SET),兼容 ClashX Pro、Clash for Windows 等基于 Clash Premium 内核的客户端。
krahets/hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
pengxiao-song/LaWGPT
🎉 Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge. 基于中文法律知识的大语言模型
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)
hpcaitech/ColossalAI
Making large AI models cheaper, faster and more accessible
xxlllq/system_architect
:100: 2024年系统架构设计师(软考高级)备考资料。
microsoft/semantic-kernel
Integrate cutting-edge LLM technology quickly and easily into your apps
meta-llama/llama-recipes
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.
stone-zeng/fduthesis
LaTeX thesis template for Fudan University
icip-cas/ChatAlpaca
A Multi-Turn Dialogue Corpus based on Alpaca Instructions
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
raphaelsty/abayes
Autoregressive Bayesian linear model
Cakeyan/CCF-Rank-2022
IanPeake/FatMaxxer
Android Project to find FatMax in real time with a Polar H10
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
wangbosdqd/vueblog
一个前后端分离的简单博客案例,适合刚入门vue,学前后端分离的童鞋!
wangbosdqd/nanodet
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥
wangbosdqd/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
wangbosdqd/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
justjavac/awesome-wechat-weapp
微信小程序开发资源汇总 :100:
wangbosdqd/ASRT_SpeechRecognition
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
WQone/WQone.github.io
:cherry_blossom:个人博客