Lists (20)
AutoML
Books
Bots
Check Data
Code Optimization Fast Calculate
Conformal Prediction
Course Materials
DataSets
Deploy, Production
Explainable AI
Guides Best Libs
Hypot Testing
Interviews
ML System Design
NLP
Optimization, Solvers
Python best
Rec Sys
Tabular Data
VN2
Stars
A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming
An interpretable regression model in Python with Random-Forest-level accuracy
Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables.
Python implementation of binary and multi-class Venn-ABERS calibration
The top submissions for the VN2 competition
Learn how to design and implement effective Machine Learning systems from start to finish.
Roadmap for learning experimentation and AB-testing
Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with any underlying model, including neural networks.
xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning p…
Midstream of https://github.com/apache/incubator-kie-optaplanner
Breaking the Sorting Barrier for Directed Single-Source Shortest Paths
Resoruce to help you to prepare for your comming data science interviews
HyperSHAP is a holistic framework for explaining hyperparameter optimization based on Shapley values and interactions.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
RecTools - library to build Recommendation Systems easier and faster than ever before
A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.
APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordinary differential equations (Neural ODEs), transformer-based c…
Материалы курса "Практический ML" для сотрудников Райффайзен банка в мае-июне 2023 года.
Курс по машинному обучению для сотрудников Райффайзен банка в июле-августе 2023 года
Курс "Машинное обучение" для студентов магистратуры "Искусственный интеллект" 25/26
A topic-centric list of HQ open datasets.
Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
Fit interpretable models. Explain blackbox machine learning.
Generate Diverse Counterfactual Explanations for any machine learning model.
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
The machine learning toolkit for time series analysis in Python