gerenuk Goto Github PK

air-quality-prediction-hackathon-winning-model

Contains the code for the model that won Kaggle's Air Quality Prediction Hackathon

algebrant

Simple, extensible symbolic algebra

allstate

autosklearn-zeroconf

autosklearn-zeroconf is a fully automated binary classifier based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it tunes massively parallel ensembles of data sicence machine learning pipelines. As a result you get a list of predicted outcomes for your new data and an estimated prediction precision.

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

causality

Kaggle's Causality Challenge Solution for team FirfiD

cause-effect

Kaggle cause-effect software

causeeffectpairschallenge

cluster-prep

Set of useful scripts to set up a HPC cluster

codekatas

Keep your skills sharp by implementing basic algorithms and data structures

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

data-science-project-template

deep-learning

deep-learning-keras-euroscipy2016

# Deep Learning with Keras

dosnes

Doubly Stochastic Neighbor Embedding on Spheres

ensemble_amazon

Code to share different ensemble techniques with focus on meta-stacking , using data from Amazon.com - Employee Access Challenge kaggle competition

entity-embedding-rossmann

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

halite-1

Kaggle Halite RL challenge

halite-bot

Bot for the 4th season of Halite by Two Sigma

halite-iv

haliteraineforce

Halite by Two Sigma competition, Team Raine Force

higgsml

The winning solution to the The Higgs Boson Machine Learning Challenge.

iterative-broadcast-join

The iterative broadcast join example code.

kaggle

My solution to Web Traffic Predictions competition on Kaggle.

kaggle-avito

Winning solution to the Avito CTR competition

kaggle-burn-cpu

Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.

kaggle-cifar

Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet

kaggle-dogs-vs-cats

Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats

kaggle-galaxies

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)