Pinned Repositories
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's Repositories
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