valeman's Projects
Binary Classifier Calibration Models
Repository of NeurIPS 2019 paper "Calibration tests in multi-class classification: A unifying framework"
Code from James for a callgraph monitor
Built and trained a convolutional network for end-to-end driving in a simulator using Tensorflow and Keras
Built and trained a deep neural network to classify traffic signs using Tensorflow
Udacity P4 Avanced-Lane-Finding project.
Starting files for the Udacity CarND Behavioral Cloning Project
CarND Behavioral Cloning P3
Udacity Self Driving Car Nanodegree - Behavioral Cloning
My solution to the Udacity Self-Driving Car Engineer Nanodegree behavioral cloning project.
Images and notebook for camera calibration
Lane Finding Project for Self-Driving Car ND
Udacity CarND - Project 04 - Advanced Lane Lines
List of interesting blog posts related to Udacity's Self-Driving Car Nanodegree Program
Classify Traffic Signs.
My work-through of the Jupyter notebook for the Udacity Self-Driving Car Nanodegree program Project 2 - Traffic Sign Classifier
Traffic Sign Classifier - Self Driving Car - Project 2
My solution to the Udacity Self-Driving Car Engineer Nanodegree Vehicle Detection and Tracking project.
Решение задачи конкурса Сбербанка
CASIMAC Classifier
An extension of CatBoost to probabilistic forecasting.
catch-22: CAnonical Time-series CHaracteristics
A library of sklearn compatible categorical variable encoders
Benchmarking different approaches for categorical encoding for tabular data
A full example for causal inference on real-world retail data, for elasticity estimation
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.