EdwardZX

acm-challenge-workbook

《挑战程序设计竞赛》习题册攻略

andi_datasets

ANDI provides the necessary functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.

Diffusional-Fingerprinting

dl-4-tsc

Deep Learning for Time Series Classification

NHumanModeling

Contains the code for "Generative Modeling of Multimodal Multi-Human Behavior" by Boris Ivanovic, Edward Schmerling, Karen Leung, and Marco Pavone.

RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

scGNN

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

TrackMate

TrackMate is your buddy for your everyday tracking.

Trajectron

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

transdim

Machine learning for transportation data imputation and prediction.

EdwardZX/Diffusional-Fingerprinting

EdwardZX/RoseTTAFold

This package contains deep learning models and related scripts for RoseTTAFold

EdwardZX/scGNN

scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

EdwardZX/TrackMate

TrackMate is your buddy for your everyday tracking.

EdwardZX/Trajectron

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

EdwardZX/transdim

Machine learning for transportation data imputation and prediction.

EdwardZX/andi_datasets

ANDI provides the necessary functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.

EdwardZX/active_pflows

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

EdwardZX/attractive_force_morse_levy

EdwardZX/bayeSDE

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

EdwardZX/colab-connect

Connect to Google Colab VM from your local VSCode

EdwardZX/cresp

Code for 'On Contrastive Representations of Stochastic Processes' https://arxiv.org/abs/2106.10052

EdwardZX/Deep-SEES

EdwardZX/deepmd-kit

A deep learning package for many-body potential energy representation and molecular dynamics

EdwardZX/DSARF

DSARF: Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting (AAAI2021)

EdwardZX/EdgeBased

A software tool implementing the viscous rigid body mechanics for multi-cellular modelling, including the models used in the paper "A rigid body framework for multi-cellular modelling" by Brown et al.

EdwardZX/faraday

Python code to simulate inviscid Faraday waves with finite elements

EdwardZX/hoomd-blue

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

EdwardZX/Large-Time-Series-Model

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

EdwardZX/magenta

Magenta: Music and Art Generation with Machine Intelligence

EdwardZX/MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

EdwardZX/MID

Official Implementation for CVPR2022 Paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"

EdwardZX/non_neg

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

EdwardZX/paper-multicomponent-evolution

Code for the paper on the evolution of multicomponent fluids

EdwardZX/poisson_disc_sampling

Poisson disc sampling in arbitrary dimensions using Bridson's algorithm

EdwardZX/PSE

Positively Split Ewald

EdwardZX/ShiArthur03

EdwardZX/sketches

temp_code

EdwardZX/tapnet

TapNet: Multivariate Time Series Classification withAttentional Prototypical Network

EdwardZX/trackmate_segment_mode