Wei Deng (@WayneDW)
  • Stars
    star
    1,054
  • Global Rank 29,040 (Top 2 %)
  • Followers 151
  • Following 34
  • Registered over 8 years ago
  • Most used languages
    Python
    50.0 %
    C++
    12.5 %
    R
    6.3 %
    Roff
    6.3 %
    C
    6.3 %
  • Location 🇺🇸 United States
  • Country Total Rank 8,962
  • Country Ranking
    Roff
    292
    Python
    1,527
    R
    2,560
    C++
    5,724
    C
    9,934

Top 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

Variational_Schrodinger_Diffusion_Model

A multi-variate transport-optimized diffusion models accelerated by simulation-free properties (ICML'24)
Jupyter Notebook
4
star
13

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

Code for "Non-reversible Parallel Tempering for Deep Posterior Approximation (AAAI 2023)"
Roff
3
star
14

Jax_implementation_of_CSGLD

Test purposes
Python
2
star
15

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
16

Learn_Schrodinger_Bridge

Learn others code for practice
Python
1
star
17

Notes

1
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