sandy4321 Goto Github PK

kaggle_web_traffic

Basic submission for https://www.kaggle.com/c/web-traffic-time-series-forecasting

kaggle_wikipedia_webtraffic

Repo for the Kaggle Competition https://www.kaggle.com/c/web-traffic-time-series-forecasting

kaggling

The repo for kaggle competitions

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kappa-updated-ensemble

Kappa Updated Ensemble for drifting data stream mining

karandashee

time series plot for categorical data

karnaugh

An implementation of Karnaugh map in python

karnaugh-1

I just think Karnaugh Maps are interesting so I'm throwing some code at it. http://en.wikipedia.org/wiki/Karnaugh_map

karnaugh-map-solver-advanced

This is an advanced GUI based Karnaugh Map solver, which aims at making boolean expression minimization at ease.

karnaugh_map_solver

katib

Repository for hyperparameter tuning

kayak

Kayak is a library for automatic differentiation with applications to deep neural networks.

kdd

kdd cup 2015

kdd-20-automl

kdd-cup-2019

Repository for KDD-Cup 2019 with Baidu. Big Data Science practical course @ LMU

kdd-cup-2019-8th-solution

KDD-Cup regular ML track.

kdd-cup-2019-automl

kdd-cup-2019-automl-solution

kdd-cup-2019-context-aware-multi-modal-transportation-recommendation-

R code

kdd-cup-2019-context-aware-rank_23

kdd-cup-2019-rl

kdd-cup-2020

百度点石KDD 上下文感知多模式交通方式推荐 第23名解决方案

kdd-cup-2020-3rd-own-solution

Single model solution for KDD-Cup(Track 2)

kdd-cup-2020-autograph-challenge

8th place solution to https://www.automl.ai/competitions/3

kdd-cup-2020-debiasing

rank26, a simple idea of modeling

kdd-cup-2020-debiasing-1

kdd-cup-2021

52nd solution of KDD Cup 2019 Regular ML track

kdd-cup-99-spark

PySpark solution to the KDDCup99

kdd-cup-automl-5

KDD Cup 2019 AutoML Track 5th solution

kdd-multimodalities-recall

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.