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-python

Выполнение заданий курса "Погружение в Python" на Coursera

a_b_testing

A/B test to determine the better marketing Campaign

aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

airflow

experiments with airflow

algorithms

A collection of algorithms and data structures

arxivnotes

repository to research & memo about the machine learning articles

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

awesome-machine-learning-papers

📖Notes and remarks on Machine Learning related papers

awesome-opendata-rus

Opendata resources in Russian / Открытые данные на русском языке

awesome-transformer-nlp

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

benchmark_raccoon_movielens

big-data-recommender-systems

Télécom Paris | MS Big Data | SD 701 | Big Data Mining Course Project using Spark and Google Colab for building Scalable Recommender Systems

bigartm

Fast topic modeling platform

bigartm-book

Topic modeling with BigARTM: an interactive book

books

A collection of Mathematics + CS + what have you related books collected over the years for school 🎓 and personal reading 📚.

calibrated_and_intent-aware_recommendation

Implementation of all four algs of the Recsys 2019 accepted paper: A Comparison of Calibrated and Intent-Aware Recommendations

caserecommender

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

casual_inference

codexdb

CodexDB generates code for SQL query processing via OpenAI's GPT-3 Codex model.

coles-paper

This repository contains the experiment code from the COLES paper

comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

coursera

dat8

General Assembly's 2015 Data Science course in Washington, DC

data-algorithms-with-spark

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

data-centric-ai

A curated, but incomplete, list of data-centric AI resources.

data-science-machine-learning-playground

My first steps in Data science and Machine Learning

datalake_ref_arch

MinIO powered reference data lake architecture.