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
Score-based generative models for compact manifolds
This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on two datasets namely MNIST and CelebA.
A Real-World Benchmark for Reinforcement Learning based Recommender System
The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.
RL recommendation R&D based on RecoGym
Robust Out-of-distribution Detection in Neural Networks
Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"
This repository contains implementations of some basic sampling methods in numpy.
Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022
SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color (ICCV2019)
Scaled MMD GAN
scikit-learn: machine learning in Python
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Estimating data gradients using score matching on toy datasets
Score-based image-to-image regression
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)
PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
A minimalist implementation of score-based diffusion model
Implemention of a ResNet18 self-supervised model for transfer learning using the SimCLR framework. The CIFAR10 and CIFAR100 datasets are used.
Implementations of various VAE-based semi-supervised and generative models in PyTorch
Stochastic Gradient Riemannian Langevin Dynamics
Reference implementation of short-run MCMC inference https://arxiv.org/abs/1912.01909
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
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.