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EdwardZhangX's Projects

andi_datasets icon 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.

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bayesde icon bayesde

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

clrs icon clrs

:notebook:Solutions to Introduction to Algorithms

cresp icon cresp

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

daoden icon daoden

Implementation of Data-Assimilation-based ODE Network (DAODEN) (https://arxiv.org/abs/2009.02296)

deepinf icon deepinf

DeepInf: Social Influence Prediction with Deep Learning

deepmd-kit icon deepmd-kit

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

dl-4-tsc icon dl-4-tsc

Deep Learning for Time Series Classification

dsarf icon dsarf

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

edgebased icon 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.github.io icon edwardzx.github.io

⚗️ A Jekyll boilerplate theme designed to be a starting point for any Jekyll website

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

faraday icon faraday

Python code to simulate inviscid Faraday waves with finite elements

hoomd-blue icon hoomd-blue

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

magenta icon magenta

Magenta: Music and Art Generation with Machine Intelligence

mid icon mid

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

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