tuhanglsWorld's Stars
PeterWang512/CNNDetection
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
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
khoj-ai/khoj
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
Ekko-zn/AIGCDetectBenchmark
niyishakapatrick/Copy-move-forgery-detection-using-image-blobs-BRISK-features.
One of the most frequently used types of digital image forgery is copying one area in the image and pasting it into another area of the same image. This is known as the copy-move forgery. In this paper, we present two efficient techniques for Copy-move forgery detection that use image blobs and key-points to tackle the limits of the existing copy-move forgery detection methods. The first method is based on image blobs and BRISK feature. The second method is based on image blobs and AKAZE feature. The two proposed methods utilize the same pipeline, that is image blobs are found in the image being analyzed, then features are extracted in each blob and the matching process between features from different blobs is performed. The two proposed methods are implemented and evaluated on the copy-move forgery standard datasets MICC-F8multi, MICC-F200, and CoMoFoD. Keywords: AKAZE, BRISK, Blob, CMFD, DoG, LoG
AKASH2907/Forgery-Classification-via-Domain-Adaptation
Classifying Forged vs Authentic using Domain Adaptation across in new domains in unsupervised settings
TheEdoRan/next-safe-action
Type safe and validated Server Actions in your Next.js (App Router) project.
react-hook-form/resolvers
📋 Validation resolvers: Yup, Zod, Superstruct, Joi, Vest, Class Validator, io-ts, Nope, computed-types, typanion, Ajv, TypeBox, ArkType, Valibot, effect-ts and VineJS
react-hook-form/react-hook-form
📋 React Hooks for form state management and validation (Web + React Native)
colinhacks/zod
TypeScript-first schema validation with static type inference
developedbyed/sprout-scribble
Full Stack Next 14.2 E-Commerce Website
nvm-sh/nvm
Node Version Manager - POSIX-compliant bash script to manage multiple active node.js versions
Samarendra109/Seam-Carving
Implementation of the Seam Carving Algorithm
bermanmaxim/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
Sandy-Zeng/PCL
code for proposal contrastive learning
SunnyHaze/IML-ViT
Official repository of paper “IML-ViT: Benchmarking Image manipulation localization by Vision Transformer”
MzeroMiko/VMamba
VMamba: Visual State Space Models,code is based on mamba
JCruan519/VM-UNet
(ARXIV24) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".
leoleelxh/ChatGpt-Web
A commercially-viable ChatGpt web application built with React. 使用React搭建的一款可商业化的ChatGpt Web应用。
imzbf/md-editor-rt
Markdown editor for react, developed in jsx and typescript, dark theme、beautify content by prettier、render articles directly、paste or clip the picture and upload it...
uiwjs/react-md-editor
A simple markdown editor with preview, implemented with React.js and TypeScript.
YuqiYang213/MLoRE
Project Page for "Multi-Task Dense Prediction via Mixture of Low-Rank Experts"
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
flycash/interview-baguwen
面试八股文
Junjue-Wang/Rank1-Ali-Tianchi-Real-World-Image-Forgery-Localization-Challenge
2022阿里天池真实场景篡改图像检测挑战赛-冠军方案(1/1149)
Grt1228/chatgpt-steam-output
Open AI ChatGPT流式输出。Open AI Stream output. ChatGPT Stream output.GPT-3.5
sindresorhus/github-markdown-css
The minimal amount of CSS to replicate the GitHub Markdown style
mpetazzoni/sse.js
A flexible Server-Sent Events EventSource polyfill for Javascript
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