Pinned Repositories
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
AlgorithmsByPython
算法/数据结构/Python/剑指offer/机器学习/leetcode
Artificial-Intelligence-Terminology-Database
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
bayesgan
Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
berkeley-stat-157
Homepage for STAT 157 at UC Berkeley
cnfs-super-resolution
Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
DuNets-RMA
Rnn-base momentum accerlateration inspired Deep unrolling Networks
ml_practice
zhouqp631.github.io
My Personal Website
zhouqp631's Repositories
zhouqp631/DuNets-RMA
Rnn-base momentum accerlateration inspired Deep unrolling Networks
zhouqp631/cinn_for_imaging
Conditional Invertible Neural Networks for Medical Imaging
zhouqp631/cnfs-super-resolution
Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
zhouqp631/MALA
zhouqp631/XM
My first academic experiment
zhouqp631/Artificial-Intelligence-Terminology-Database
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
zhouqp631/zhouqp631.github.io
My Personal Website
zhouqp631/cflow-ad
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
zhouqp631/CIL_and_CVXPY
zhouqp631/CT_framework_
zhouqp631/dival
Deep Inversion Validation Library
zhouqp631/fourier_neural_operator
Use Fourier transform to learn operators in differential equations.
zhouqp631/g-mlp-pytorch
Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
zhouqp631/google-research
Google Research
zhouqp631/mcmc-demo
Interactive Markov-chain Monte Carlo Javascript demos
zhouqp631/MH-MDGM
MH-MDGM for Bayesian inverse problems
zhouqp631/ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
zhouqp631/MLMCMC
zhouqp631/nonparametric_statistics
zhouqp631/PyBNesian
PyBNesian is a Python package that implements Bayesian networks.
zhouqp631/pyEIT
Python based toolkit for Electrical Impedance Tomography
zhouqp631/pymc-examples
Examples of PyMC models, including a library of Jupyter notebooks.
zhouqp631/PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
zhouqp631/pytorch-wgan
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
zhouqp631/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
zhouqp631/TFPnP
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems (ICML 2020 Award Paper & JMLR 2022)
zhouqp631/torch-radon
Computational Tomography in PyTorch
zhouqp631/torchio
Medical image preprocessing and augmentation toolkit for deep learning
zhouqp631/TyXe
zhouqp631/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB