valeman's Projects
Codebase for "Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions", ICML 2020.
R Interface to the Numerai Machine Learning Tournament API
Project repository for the Unity rover search and sample return project.
First week project Unity simulator
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Computing conformal prediction set without data splitting
Rolling Risk Control
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
R package for Singular Spectrum Analysis
Classifier of imbalanced data by boosting with random under sampling
Kaggle Santander
Описание алгоритмов для соревнования https://sascompetitions.ru/
Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
Sub-Band Decomposition for Deep Networks applied to Time-series (Pytorch)
Covid19-forecast
Conformal Prediction in Scala
The practitioner's forecasting library
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
A simple chrome extension to present the number of available code implementions (via Papers With Code) for articles listed on Google Scholar.
An open access book on scientific visualization using python and matplotlib
scikit-learn: machine learning in Python
Extra blocks for scikit-learn pipelines.
Deep neural networks without the learning cliff! Classifiers and regressors compatible with scikit-learn.
The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“.
Scikit-Learn tutorial material for Scipy 2015
R Package for Spatial Conformal Prediction
Udacity SDC Project 1
Udacity Self-Driving Car Project 3: Behavior Cloning
Udacity Self-Driving Car Project 4: Advance Lane Finding