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alexeygrigorev.github.io

My website

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-decision-science

An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.

awesome-graph-llm

A collection of AWESOME things about Graph-Related LLMs.

awesome-language-model-on-graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

awesome_catboost

The repository to showcase the best framework for tabular data - the Awesome CatBoost

casestudies

Case Studies using non-parametric and machine learning methods

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

clothing-dataset

Closing dataset, all classes

conflare

This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.

conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

data-engineering-zoomcamp

Free Data Engineering course!

data-science-interviews

Data science interview questions and answers

data-science-tips

Tips on Python code for Data Science

data-science-tutorials

deep-learning-for-time-series-data-cookbook

B21145 - Deep Learning for Time Series Data Cookbook

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

fastapi_react_stablediffusion

fastapi + react = stablediffusion

feature_engineering_bookcamp

Feature Engineering book by Sinan Ozdemir code

featuretools

An open source python library for automated feature engineering

galactic

data cleaning and curation for unstructured text

gliner

Generalist model for NER (Extract any entity types from texts)

hands-on-mlops-workshop

MLOps Hands-on Guide: From Training to Deployment and Monitoring: A day long workshop about MLOps

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

julia_notebooks

Julia Jupyter/Colab Notebooks

kaobook

A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

keras-image-helper

A lightweight library for pre-processing images for pre-trained keras models

kestra

Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code.

kubeflow-deep-learning

Deploying a Keras model with KServe (formerly KFServing) and EKS