soloche Goto Github PK
Name: Yiming Che
Type: User
Bio: Yiming Che
Name: Yiming Che
Type: User
Bio: Yiming Che
PyTorch Implementation of Mean-Variance Loss for age estimation.
CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"
a simple unofficial implementation of classifier-free diffusion guidance
Implementation of Classifier-free Diffusion Model on cifar10
Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.
Deep Gaussian Processes with Importance-Weighted Variational Inference
Code for Diff-SCM paper
Official implementation of Diffusion Autoencoders
Diffusion model papers, survey, and taxonomy
diffusion generative model
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Deep Gaussian Processes with Doubly Stochastic Variational Inference
MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications
A collective effort at learning git commands
'Multi-fidelity modeling in sequential design for stability identification in dynamic time-delay systems'
High-Resolution Image Synthesis with Latent Diffusion Models
Deep neural network kernel for Gaussian process
An implementation of parameter identification of SEIR model (PDE version).
Implement PINN in Pytorch
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models
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.