Resources Collection

AI Tools

AI Directory

Browse 5000+ AI tools in 50+ categories like copywriting, image generation and video editing.

[Future_Pedia] | [AI_Hunt] | [Crea_AI] | [Future_Tools] | [AI_Radar] | [Ai-Lib] | [AI_Wiki] | [万彩AI] | [Free_Chat]

AI Chat

AI tools for chatting with AI

[API_free] | [copilot] | [perplexity] | [Claude] | [Free_Chat]

Literature Read

AI tools for reading papers

[EasyPDF] | [PapersCool] | [ChatPaper]

Writting Polish

AI tools for rewritting papers

[EasyEssay] | [Collection] | [深度导航] | [Prompts] | [Prompts_Genius] | [刘明野]

Image Processing

AI tools for Image Processing

Cartoonify

Code Annotation

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, and the website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.

[Visit Tool] | [optuna]

Magic ToDo

Magic ToDo is an AI tool to break down complex tasks into manageable steps.

Visit Tool

GPTs

Interesting tools in GPTs

[Visit Tool]

consensus, AIpdf, data analyst, GPT Academic

Pi

An AI designed to chat with people and provide an engaging and useful conversation.

Visit Tool

Language Reator

A powerful toolbox for learning languages. It helps you to discover, understand, and learn from native materials.

Visit Tool

佐糖

佐糖专注于图像处理领域,提供丰富的图像处理工具,将复杂操作极致简化,真正实现让图像处理更简单。

[Visit Tool] | [Remove bg]

AI Deadline

人工智能会议截止日期。

[Visit Tool]

Wiseone

Enhance your online reading experience.

Visit Tool

AI Scholars

Michael Elad (香港中文大学)

研究特点:擅长场景理解及其可解释性

GenForce

Lei Zhang (香港理工大学)

研究特点:擅长图像及视频的恢复和增强

Homepage

孟德宇 (西安交通大学)

研究特点:元学习、变分贝叶斯和深度学习可解释性

Homepage

周博磊 (香港中文大学)

研究特点:擅长场景理解及其可解释性

GenForce

顾舒航 (电子科技大学)

研究特点:主要研究方向为底层视觉

Homepage

林宙辰 (北京大学)

研究特点:主要研究方向为机器学习、优化方法、计算机视觉等

ZERO Lab

刘日升 (大连理工大学)

研究特点:主要研究方向为计算机视觉、深度学习、最优化方法等

VLOG

山世光 (中科院计算所)

研究特点:擅长视觉自监督

Homepage

左旺孟 (哈尔滨工业大学)

研究特点:擅长计算机视觉和机器学习

Homepage

谢伟迪 (牛津大学)

研究特点:主要聚焦视频理解自监督学习

VGG

王淑君(香港理工大学)

研究特点:多任务和跨模态医疗图像分析

Homepage

Tianfan XUE(香港中文大学)

研究特点:NeRF和Computational Photography

Homepage

Henry Arguello (Universidad Industrial de Santander)

研究特点:compressive sensing

Google Scholar

Chen Zhao (KAUST)

研究特点:Image/video understandingy

Homepage

Rice ECE

研究特点:DIGITAL SIGNAL PROCESSING

Homepage

施柏鑫 (北京大学)

研究特点: Computational photography and computer vision

Homepage

Vincent Sitzmann

研究特点: Neural scene representations

Homepage

Israel Cohen

研究特点: Array processing, statistical signal processing

Homepage

Stanford computational imaging

研究特点: Neural scene representations and diffusion models

Homepage

AI Blogs )

Feature: This is a collection of good blogs.

Lil'log KeXue(苏剑林) Colah Distill reddit Pyimagesearch Jianping Liu(刘建平)

Low-lever Vision Groups (底层视觉团队)

研究特点: This research area aims to develop methods that can enhance images, remove noise, detect edges, perform image denoising, and handle other fundamental visual tasks.

Github

Solfwares

软件免费下载

416个专业软件,免费学习,免费下载

[软仓] | [奇迹秀] | [大眼仔] | [Similar Sites]

Obsidian

Obsidian is a powerful and flexible note-taking and knowledge management tool that helps you organize, connect, and explore your ideas and information.

[Template] | [Intergration]

Zotero

Zotero is a free and open-source reference management software designed to collect, organize, cite, and share research.

[Tutorial] | [Integration]

Writting

Collections for commonly used writting tools.

[Ludwig] | [Corpora] | [Citation-finder]

Seismic data Generation

Collections for commonly used packages.

[Synthoseis] | [Noddyverse]

optimization problem

Collections for commonly used packages.

[scico] | [Sparse] | [JAX] | [ProxImaL]

Machine learning courses

Collections for good machine learning notes.

[ML_Notes] | [Bilibili]

Deep learning codes

Collections for good deep learning templates.

[Templates] | [Pytorch] | [Attention]

Tensor decomposition

Collections for tensorial codes.

[TensorD] | [tntorch] | [TT-Toolbox] | [TedNet] | [tensorly] | [scikit_tt]

Collections for tensorial scholars.

[Rasmus Bro] | [Tamara G. Kolda] |