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ili3p/README.md

[Nov 2023]

Hey

Even though I have a public GitHub profile, most of my code these days is paid for and thus closed-source. So I cannot publish here the interesting code that I have most recently written.

Anyway, my programming philosophy is that the aim of programming is to reduce the complexity of a problem and to communicate that clearly to anyone reading the code.

Some of the lessons I learned over the 15 years of professional programming are summarized here: software-development-guidelines

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  1. louisXW/MAVts louisXW/MAVts Public

    Model Performance Analysis and Visualization for Time Series Forecasting

    Python 1

  2. vqa-soft vqa-soft Public

    Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

    C 15 3

  3. HORD HORD Public

    Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

    Python 114 22

  4. WING-PDTB-Scorer WING-PDTB-Scorer Public

    Scorer for PDTB relations

    Java 4 1

  5. Fast Kendall Tau calculation with py... Fast Kendall Tau calculation with pytorch.
    1
    import torch
    2
    import time
    3
    from scipy.stats import kendalltau
    4
    
                  
    5
    def kendall(x, y):
  6. Fast Hurst exponent calculation Fast Hurst exponent calculation
    1
    import pandas as pd
    2
    import numpy as np
    3
    from numba import jit
    4
    
                  
    5
    def calc_hurst(series: pd.Series, n_wins: int = 300):