zcg-joker's Stars
tuteng/Best-websites-a-programmer-should-visit-zh
程序员应该访问的最佳网站中文版
ShiArthur03/ShiArthur03
InternLM/lmdeploy
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
InternLM/Agent-FLAN
[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
InternLM/Tutorial
LLM&VLM Tutorial
InternLM/InternLM
Official release of InternLM2.5 base and chat models. 1M context support
cavalierlulu/rag_survey
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, ... 🧠
windingwind/zotero-better-notes
Everything about note management. All in Zotero.
cuiwang/MarkStudio
中文标注工具,支持NER、文本分类、关系标注、对话标注等。
dskezju/ChiSig
Chisig: A Novel Chinese Document Signature Forgery
i2ii/i
amov-lab/Prometheus
Open source software for autonomous drones.
liaoyanqing666/siamese_neural_network_OfHSV
OfHSV project using VGG16 and siamese neural network. Very easy. 使用VGG16和孪生神经网络实现离线签名鉴别,极其简单
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
zhulei227/ML_Notes
机器学习算法的公式推导以及numpy实现
rustdesk/rustdesk
An open-source remote desktop application designed for self-hosting, as an alternative to TeamViewer.
PaddlePaddle/PaddleNLP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
imfing/keras-flask-deploy-webapp
:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.
lyhue1991/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
lyhue1991/PythonAiRoad
source code of my blogs 😋😋
lyhue1991/eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
bubbliiiing/unet-pytorch
这是一个unet-pytorch的源码,可以训练自己的模型
EvalCSU/evalcsu
EvalCSU 是一个关于 CSU 的非官方专业课程经验分享平台