WayneDW/Variational_Schrodinger_Diffusion_Model WayneDW/Variational_Schrodinger_Diffusion_Model

  • Stars
    star
    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    Jupyter Notebook
  • License
    Apache License 2.0
  • Created 6 months ago
  • Updated 2 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
WayneDW/Variational_Schrodinger_Diffusion_Model
github

WayneDW

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A multi-variate transport-optimized diffusion models accelerated by simulation-free properties (ICML'24)

More Repositories

1

Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction

Use NLP to predict stock price movement associated with news
Python
781
star
2

DeepLight_Deep-Lightweight-Feature-Interactions

Accelerating Inference for Recommendation Systems (WSDM'21)
Python
112
star
3

Contour-Stochastic-Gradient-Langevin-Dynamics

An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
Jupyter Notebook
38
star
4

Automated-Equity-Asset-Selection-and-Allocation

Optimal portfolio selection
Python
33
star
5

Bayesian-Sparse-Deep-Learning

Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)
Python
18
star
6

Parallel-Solvers-for-Linear-System

Parallel Solver for Large-Scale Sparse Matrix Computations
C++
15
star
7

More-than-Algorithms

Refresh algorithms using C++ and Python
C++
13
star
8

Bayesian-Data-Analysis

An alternative to frequentist inference
R
10
star
9

two_sigma_financial_modeling

Kaggle Competition
Python
9
star
10

Variance_Reduced_Replica_Exchange_SGMCMC

Variance reduction in energy estimators accelerates the exponential convergence in deep learning (ICLR'21)
C
8
star
11

Interacting-Contour-Stochastic-Gradient-Langevin-Dynamics

A pleasantly parallel adaptive importance sampling algorithms for simulations of multi-modal distributions (ICLR'22)
Jupyter Notebook
7
star
12

Non-reversible-Parallel-Tempering-for-Deep-Posterior-Approximation

Code for "Non-reversible Parallel Tempering for Deep Posterior Approximation (AAAI 2023)"
Roff
3
star
13

Jax_implementation_of_CSGLD

Test purposes
Python
2
star
14

Global-Optimization-and-Monte-Carlo-Simulation-via-An-Adaptively-Weighted-Stochastic-Gradient-MCMC

Code for "An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization (Statistics and Computing 2022)"
Python
2
star
15

Learn_Schrodinger_Bridge

Learn others code for practice
Python
1
star
16

Notes

1
star