skkadii

skkadii's Stars

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook22.5k2402.5k3.3k

• KindXiaoming/pykan

  Kolmogorov Arnold Networks

  Language:Jupyter Notebook14.6k1093801.3k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.6k1151.7k1k

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python4.8k267539489

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python3.9k3538348

• jdb78/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python3.9k41769612

• VPN-Subcription-Links/ClashX-V2Ray-TopFreeProxy

  Top free VPN (ClashX & V2Ray proxy) with subscription links. [免费VPN、免费梯子、免费科学上网、免费订阅链接、免费节点、精选、ClashX & V2Ray 教程]

  Language:Python3.6k6412314

• Nixtla/neuralforecast

  Scalable and user friendly neural :brain: forecasting algorithms.

  Language:Python2.9k35528340

• mintisan/awesome-kan

  A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

  2.3k5013215

• caogang/wgan-gp

  A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

  Language:Python1.5k1956344

• bashtage/linearmodels

  Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

  Language:Python93026175184

• deeptime-ml/deeptime

  Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

  Language:Python747197482

• sjtug/SJTUBeamer

  上海交通大学 Beamer 模版 | Beamer template for Shanghai Jiao Tong University

  Language:TeX56283964

• DoubleML/doubleml-for-py

  DoubleML - Double Machine Learning in Python

  Language:Python472145171

• nlpaueb/edgar-crawler

  The only open-source toolkit that can download EDGAR financial reports and extract textual data from specific item sections into nice and clean JSON files.

  Language:Python277171476

• mathurinm/celer

  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.

  Language:Python199119533

• feedzai/timeshap

  TimeSHAP explains Recurrent Neural Network predictions.

  Language:Jupyter Notebook157135029

• tiskw/random-fourier-features

  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

  Language:Python953321

• alvaromc317/asgl

  A regression solver for high dimensional penalized linear, quantile and logistic regression models'

  Language:Python7951018

• IMFGAR/GaR

  Language:Python609333

• selective-inference/Python-software

  Python software for selective inference

  Language:Python519737

• coinmetrics/api-client-python

  API v4 client for Python

  Language:Python406817

• dkobak/high-dim-ridge

  The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization

  Language:Jupyter Notebook30505

• amazon-science/quantile-aggregation

  Code for Flexible Model Aggregation for Quantile Regression

  Language:Python17122

• bnaras/bcaboot

  Language:R17366

• Quantactix/ChinaAShareEquityCharacteristics

  Equity return and characteristics of China A-Share market

  Language:Python13008

• CY-dev/hqreg

  Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net

  Language:C9352

• saduineveld/Promes_toolbox

  The Promes toolbox solves DSGE models with projection methods, and uses Matlab.

  Language:MATLAB6106

• tengandreaxu/fabr

  Language:Python3101

• shaobo-li/hrqglas

  An R Package for Group Variable Selection for Quantile and Robust Mean Regression

  Language:R2301