wanggrun Goto Github PK
Name: Guangrun Wang (王广润)
Type: User
Bio: Please visit my homepage: https://wanggrun.github.io/
Name: Guangrun Wang (王广润)
Type: User
Bio: Please visit my homepage: https://wanggrun.github.io/
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
AI agent using GPT-4V(ision) capable of using a mouse/keyboard to interact with web UI
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Virtual hair makeover from image processing project.
HumanNeRF turns a monocular video of moving people into a 360 free-viewpoint video.
iBOT: Image BERT Pre-Training with Online Tokenizer [ICLR2022]
Release the datasets in the paper( ICME 2018 ) ,Occluded Person Re-identification.
IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild
Code of "Learning object interactions and descriptions for semantic image segmentation"
即时通讯(IM)系统
ImageNet classifier with state-of-the-art adversarial robustness
Inpaint Anything performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"
Code of our NIPS 2018 Paper: "Kalman Normalization"
This is the official repository for the paper "LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On".
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
High-Resolution Image Synthesis with Latent Diffusion Models
Code of "Training ImageNet and PASCAL VOC2012 via Learning Feature Pyramids "
Training COCO 2017 Object Detection and Segmentation via Learning Feature Pyramids
Inference code for LLaMA models
Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
An Open-source Toolkit for LLM Development
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Masked Autoencoders Are Scalable Vision Learners
A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.