SmirnovEgorRu

SmirnovEgorRu's Stars

• sb-ai-lab/RePlay

  A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

  Language:Python13724

• erhosen/gas-tinkoff-trades

  Google Apps Script that imports your operations from Tinkoff Investments into Google Spreadsheets

  Language:JavaScript12428

• deezer/recsys21-hlr

  Hierarchical Latent Relation Modeling for Collaborative Metric Learning

  Language:Python63

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.3k601

• microsoft/Product-Recommendations

  Product Recommendations solution

  Language:C#243129

• rn5l/session-rec

  Python-based framework for building and evaluating session-based and session-aware recommender systems.

  Language:Python38478

• HaojiHu/TIFUKNN

  kNN-based next-basket recommendation

  Language:Python9725

• FlorianWilhelm/lda4rec

  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.

  Language:Jupyter Notebook406

• sony/pyIEOE

  Language:Python314

• st-tech/zr-obp

  Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

  Language:Python63387

• criteo-research/reco-gym

  Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising

  Language:Jupyter Notebook46498

• massquantity/LibRecommender

  Versatile End-to-End Recommender System

  Language:Python35362

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k825

• AmazingDD/daisyRec

  Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

  Language:Python54585

• cheungdaven/DeepRec

  An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

  Language:Python1.1k293

• imsheridan/DeepRec

  推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

  986219

• alibaba/EasyRec

  A framework for large scale recommendation algorithms.

  Language:Python1.7k311

• sberbank-ai-lab/RePlay

  RecSys Library

  Language:Python646

• oap-project/oap-mllib

  Optimized Spark package to accelerate machine learning algorithms in Apache Spark MLlib.

  Language:Scala2012

• linkedin/greykite

  A flexible, intuitive and fast forecasting library

  Language:Python1.8k104

• ContinuumIO/anaconda-package-data

  Conda package download data

  Language:Jupyter Notebook9836

• tensorflow/decision-forests

  A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

  Language:Python657108

• intel/dffml

  The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

  Language:Python250138

• conda-forge/scikit-learn-intelex-feedstock

  A conda-smithy repository for scikit-learn-intelex.

  49

• autogluon/autogluon

  Fast and Accurate ML in 3 Lines of Code

  Language:Python7.6k898

• IntelPython/scikit-learn_bench

  scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

  Language:Python10968

• conda-forge/daal4py-feedstock

  A conda-smithy repository for daal4py.

  Language:Shell49

• intel/AiKit-code-samples

  269

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.1k8.7k

• Ibotta/sk-dist

  Distributed scikit-learn meta-estimators in PySpark

  Language:Python28552