EdwardZX's Stars
shengzesnail/PIV_dataset
PIV dataset
aleximmer/heteroscedastic-nn
Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)
JeongJiHeon/ScoreDiffusionModel
The Pytorch Tutorial of Score-based and Diffusion Model
yang-song/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
probml/pml-book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
agefanscom/website
AGE animation official website URL release page(AGE动漫官网网址发布页)
amitness/colab-connect
Connect to Google Colab VM from your local VSCode
alexlib/awesome_piv
List of repositories related to PIV (particle image velocimetry) to learn from
erizmr/UnLiteFlowNet-PIV
Unsupervised learning of Particle Image Velocimetry. (ISC 2020)
nmboffi/active_pflows
Public repository for Boffi & Vanden-Eijnden, PNAS (2024).
ShiArthur03/ShiArthur03
raphaelreme/koft
Code and data for "Particle tracking in biological images with optical-flow enhanced Kalman filtering"
PKU-ML/non_neg
Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning
thuml/Large-Time-Series-Model
Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)
HolyBayes/TIRE_pytorch
Pytorch implementation of TIRE for change point detection
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
HerreraKrachTeichmann/NJODE
code for "Neural Jump Ordinary Differential Equations"
xwinxu/bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
Gutianpei/MID
[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"
Mishne-Lab/DBE-Disentangled-Behavior-Embedding
Official Implementation of "Learning Disentangled Behavior Embeddings"
google-research/google-research
Google Research
abdulfatir/REDSDS
Pytorch implementation of RED-SDS (NeurIPS 2021).
favyen/uns20
FanChiMao/SUNet
SUNet: Swin Transformer with UNet for Image Denoising
debtanu177/CVAE_MNIST
Conditional VAE using CNN on MNIST in PyTorch
ucals/cvae
AnDiChallenge/andi_datasets
andi_datasets provides functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.
alperbayram/3DBrainmodel
3D brain model created using three.js