jingzhang617 Goto Github PK
Name: JingZhang
Type: User
Company: Australian National University
Bio: PhD Candidate
Name: JingZhang
Type: User
Company: Australian National University
Bio: PhD Candidate
🧑🏫 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, ... 🧠
A collection of resources and papers on Diffusion Models
An official pytorch implementation of "Parallel Diffusion Model of Operator and Image for Blind Inverse Problems" (CVPR 2023)
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Supplementary code for the paper "Hyperbolic Image Embeddings".
[CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zhang, and Sijia Liu
Github Pages template for academic personal websites
High-Resolution Image Synthesis with Latent Diffusion Models
The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection
Lending Orientation to Neural Networks for Cross-view Geo-localization
Painter & SegGPT Series: Vision Foundation Models from BAAI
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'
PyTorch reimplementation of Diffusion Models
This this our model for the ICIP 2017 paper.
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Weakly-Supervised Salient Object Detection via Scribble Annotations, CVPR2020
Source code for our "Semi-supervised Active Saliency Detection"
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.