gengcong940126 Goto Github PK
Name: cong geng
Type: User
Company: shanghai jiaotong university
Name: cong geng
Type: User
Company: shanghai jiaotong university
Code for the paper "Adversarial Generator-Encoder Networks"
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
An auto-encoder + auxiliary classifier GAN model is being explored in this project, to produce artificial, realistic human faces.
Official code for DDAEBM
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Implementation of Denoising Diffusion Probabilistic Models in PyTorch
Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)
Denoising Diffusion Probabilistic Models
PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching
Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
Noise Conditional Score Networks (NeurIPS 2019, Oral)
LPIPS metric. pip install lpips
PyTorch implementation of DCGAN, WGAN-GP and SNGAN.
Implement efficient jacobian method available for most pytorch networks
A Collection of Variational Autoencoders (VAE) in PyTorch.
A mix of GAN implementations including progressive growing
This is a simple autoencoder to reconstruct pointcloud
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Code for reproducing results in the sliced score matching paper (UAI 2019)
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.