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Name: andreus
Type: User
Company: company
Bio: [email protected]
Location: Georgia
Name: andreus
Type: User
Company: company
Bio: [email protected]
Location: Georgia
Выполнение заданий курса "Погружение в Python" на Coursera
A/B test to determine the better marketing Campaign
Code to accompany Advanced Analytics with Spark from O'Reilly Media
experiments with airflow
A collection of algorithms and data structures
This repository is not maintained
repository to research & memo about the machine learning articles
An experimental open-source attempt to make GPT-4 fully autonomous.
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.
📖Notes and remarks on Machine Learning related papers
Opendata resources in Russian / Открытые данные на русском языке
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
Télécom Paris | MS Big Data | SD 701 | Big Data Mining Course Project using Spark and Google Colab for building Scalable Recommender Systems
Fast topic modeling platform
Topic modeling with BigARTM: an interactive book
A collection of Mathematics + CS + what have you related books collected over the years for school 🎓 and personal reading 📚.
Implementation of all four algs of the Recsys 2019 accepted paper: A Comparison of Calibrated and Intent-Aware Recommendations
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
CodexDB generates code for SQL query processing via OpenAI's GPT-3 Codex model.
This repository contains the experiment code from the COLES paper
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
[ICLR'21] Counterfactual Generative Networks
General Assembly's 2015 Data Science course in Washington, DC
O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian
A curated, but incomplete, list of data-centric AI resources.
My first steps in Data science and Machine Learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.