pkulwj1994 Goto Github PK
Name: William Luo
Type: User
Company: Peking University
Bio: Phd on Statistics in PKU Research Interests: Generative AI and Large Language Models.
Location: Beijing
Name: William Luo
Type: User
Company: Peking University
Bio: Phd on Statistics in PKU Research Interests: Generative AI and Large Language Models.
Location: Beijing
Official implementation of "Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation"
3D generation on ImageNet [ICLR 2023]
Code for "A-NICE-MC: Adversarial Training for MCMC"
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
๐ A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Easy-to-use AdaHessian optimizer (PyTorch)
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Implementation of "Adversarial purification with Score-based generative models", ICML 2021
Code for paper "Adversarial score matching and improved sampling for image generation"
Official implementation of NeurIPS 2022 Spotlight paper "Improving Generative Adversarial Networks via Adversarial Learning in Latent Space".
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Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
Analysis by Synthesis โ reimplemented
[IJCAI'19, NeurIPS'19] Anode: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs
Final project code of dgm-bo, Fall 2021
ass data
Asynchronous Replica Exchange Framework for Parallel Computing with the OpenMM engine
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
links and status of cool gradio demos
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
A collection of pre-trained StyleGAN models to download
Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)
Implementation of the BASIS algorithm for source separation with deep generative priors
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.