Gerenuk's repositories
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
cluster-prep
Set of useful scripts to set up a HPC cluster
darknet
YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)
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
HaliteRaineForce
Halite by Two Sigma competition, Team Raine Force
iterative-broadcast-join
The iterative broadcast join example code.
kaggle-recruit-restaurant
:trophy: Kaggle 8th place solution
kaggle-web-traffic
1st place solution
KaggleWebTrafficForecasting
My solution code for the 2017 Kaggle Web Traffic Forecasting Challenge
M4-methods
Includes the source code of the methods which participated in the M4 Competition
machine-learning-interview
Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
power-laws-forecasting
Winners of the Power Laws forecasting competition
power-laws-optimization
Example repository for the Power Laws: Optimizing Demand-side Strategies competition on DrivenData
rinse-over-run
Winners of the Sustainable Industry: Rinse Over Run competition
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
Walmart_competition_code
This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.
web-traffic-forecasting
Kaggle | Web Traffic Forecasting 📈