cdeotte / Kaggle-OTTO-CompLinks
☆100Updated 2 years ago
Alternatives and similar repositories for Kaggle-OTTO-Comp
Users that are interested in Kaggle-OTTO-Comp are comparing it to the libraries listed below
Sorting:
- 3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition☆139Updated 2 years ago
- 🥈 Silver Medal Solution to Kaggle H&M Personalized Fashion Recommendations☆72Updated 3 years ago
- I share my solution for the Otto Competition, scoring LB 0.601, using Reranker, Transformers and GRU☆31Updated 2 years ago
- 🛍 A real-world e-commerce dataset for session-based recommender systems research.☆343Updated 3 months ago
- ☆23Updated 2 years ago
- ☆22Updated 2 years ago
- MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.☆328Updated 2 years ago
- Synerise RecSys Challenge 2025☆88Updated last month
- My 20th Place Solution of Kaggle OTTO – Multi-Objective Recommender System Competition☆44Updated 2 years ago
- kaggle:otto competition☆24Updated 2 years ago
- kaggle Otto Recommender system code, single model LB0.596, about rank 22☆29Updated 2 years ago
- Pytorch implementation of BERT4Rec and Netflix VAE.☆392Updated 2 years ago
- Solutions to Recommender Systems competitions☆201Updated 2 years ago
- ☆103Updated 4 years ago
- BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS☆377Updated 9 months ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆558Updated last week
- Versatile End-to-End Recommender System☆449Updated last month
- A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io☆1,253Updated 2 months ago
- Code for ACM RecSys 2023 paper "Turning Dross Into Gold Loss: Is BERT4Rec really better than SASRec?"☆53Updated last year
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... (pytorch, tf2.0)☆269Updated 3 months ago
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆602Updated 5 months ago
- This is a repository of public data sources for Recommender Systems (RS).☆1,041Updated 11 months ago
- This repository collects debiasing methods for recommendation☆441Updated last year
- 基于王喆老师的深度学习推荐系统书籍,主要用pytorch实现了里面涉及到的算法,有很少数量的算法是用tf2.0实现的。在这个过程中也参考很多大佬的复现代码,希望自己能持续学习 多多去实现。☆48Updated 2 years ago
- ☆257Updated last year
- A curated collection of recommendation datasets with trackable dataset IDs☆60Updated 6 months ago
- 基于 Pytorch 实现推荐系统相关的算法☆181Updated 3 years ago
- 推荐系统论文算法实现,包括序列推荐,多任务学习,元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆231Updated 2 years ago
- LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…☆261Updated 3 years ago
- ☆42Updated 3 years ago