EdwardZX

awesome

😎 Awesome lists about all kinds of interesting topics

google-research

Google Research

ShiArthur03

website

AGE animation official website URL release page（AGE动漫官网网址发布页）

Informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

Large-Time-Series-Model

Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

ScoreDiffusionModel

The Pytorch Tutorial of Score-based and Diffusion Model

colab-connect

Connect to Google Colab VM from your local VSCode

SUNet

SUNet: Swin Transformer with UNet for Image Denoising

MID

[CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"

bayeSDE

Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"

cvae

PIV_dataset

PIV dataset

awesome_piv

List of repositories related to PIV (particle image velocimetry) to learn from

UnLiteFlowNet-PIV

Unsupervised learning of Particle Image Velocimetry. (ISC 2020)

non_neg

Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning

NJODE

code for "Neural Jump Ordinary Differential Equations"

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.

uns20

REDSDS

Pytorch implementation of RED-SDS (NeurIPS 2021).

TIRE_pytorch

Pytorch implementation of TIRE for change point detection

CVAE_MNIST

Conditional VAE using CNN on MNIST in PyTorch

heteroscedastic-nn

Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)

DBE-Disentangled-Behavior-Embedding

Official Implementation of "Learning Disentangled Behavior Embeddings"

koft

Code and data for "Particle tracking in biological images with optical-flow enhanced Kalman filtering"

3DBrainmodel

3D brain model created using three.js

active_pflows

Public repository for Boffi & Vanden-Eijnden, PNAS (2024).