Paulnkk

Paulnkk's Stars

• KonstantinQuant/generative-ai-columbia

  Repository for the graduate course "A Mathematical Approach to Generative AI" at the Department of Mathematics at Columbia University

  Language:Python3

• chgiesse/flash

  Async port of Dash

  Language:Python10

• phschiele/armacell_paper

  Language:Python62

• ubhyl-debug/gams

  Rechnerübung Einführung in die stochastische Optimierung Sommersemester 2024

  Language:GAMS2

• Paulnkk/Stanford-EE-364-A

  convex optimization repo

  Language:Jupyter Notebook5

• pjaselin/Cubist

  A Python package for fitting Quinlan's Cubist regression model

  Language:C453

• Paulnkk/Nonlinear-Optimization-Algorithms

  Implementation of nonlinear Optimization Algorithms in Python

  Language:Python81

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.7k1.1k

• Ericavanee/spreg

  Spatial econometric regression in Python

  Language:Jupyter Notebook1

• Ericavanee/Convex-Order

  Language:Jupyter Notebook1

• Ericavanee/robust_nsde_mtglProj

  Robust pricing and hedging via Neural SDEs

  Language:Python1

• PatrickSVM/Spaceship-Titanic-Kaggle-Challenge

  Spaceship Titanic Kaggle Challenge - Includes detailed EDA and statistical analysis, NaN-Imputation and Modeling. (> 80% accuracy, top 6% on 09.08.22)

  Language:Jupyter Notebook61

• Ericavanee/Quasi-maximum-likelihood-estimation-QMLE-of-spatial-dynamic-panel-data

  This package implements quasi-maximum likelihood estimation (QMLE) of spatial dynamic panel data based on paper by Lee & Yu (2011): https://www.sciencedirect.com/science/article/pii/S0304407616302147

  Language:Jupyter Notebook41

• PatrickSVM/CIFAR10-Image-Classification-with-CNN

  Trained and built custom CNN for Image-Classification on CIFAR-10 dataset with tensorflow and keras using ImageGenerator (> 89% test-accuracy).

  Language:Jupyter Notebook1

• PatrickSVM/Text-Generator-Markov

  Implementation of a simple Markov Chain Text Generator

  Language:Jupyter Notebook2

• cpfeu/Data_Science_Final_Project

  Language:Python1

• cpfeu/Stock_Selection

  A stock selection project based on ticker mentions in social media.

  Language:Python2

• cpfeu/CS5112_Project

  Time Series Analysis for Stock Data and Cryptocurrencies

  Language:HTML1

• cpfeu/Social_Media_Sentiment_Analysis_and_Stock_Volatility

  Language:HTML1

• cpfeu/ML_from_Scratch

  Language:Python1

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.7k8.8k