Licong Guan's repositories
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
awesome-open-gpt
Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
Awesome-Segment-Anything-1
A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.
Awesome-Segmentation-With-Transformer
Transformer-Based Visual Segmentation: A Survey
backgroundremover
Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.
ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
CV
✔（已完结）最全面的 深度学习 笔记【我是土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
hello-algo
《Hello 算法》是一本动画图解、能运行、可提问的数据结构与算法入门书，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Zig 等语言。
latex_paper_writing_tips
Tips for Writing a Research Paper using LaTeX
learning_research
本人博士期间的科研经验
notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
panoptic-segment-anything
Combining Segment Anything (SAM) with Grounded DINO for zero-shot object detection and CLIPSeg for zero-shot segmentation
Personalize-SAM
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
prismatic-vlms
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
Prompt-Segment-Anything
This is an implementation of zero-shot instance segmentation using Segment Anything.
pyfeats
Open source software for image feature extraction.
rebiber
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
sd-webui-controlnet
WebUI extension for ControlNet
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
segment-anything-annotator
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
speechgpt
💬 SpeechGPT is a web application that enables you to converse with ChatGPT.