15 Repositories
Python recommendations Libraries
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Introduction This repo contains the pytorch impl
38 Oct 10, 2022
Plex-recommender - Get movie recommendations based on your current PleX library
plex-recommender Description: Get movie/tv recommendations based on your current
5 Jul 19, 2022
This is an API developed in python with the FastApi framework and putting into practice the recommendations of the book Clean Architecture in Python by Leonardo Giordani,
This is an API developed in python with the FastApi framework and putting into practice the recommendations of the book Clean Architecture in Python by Leonardo Giordani,
0 Sep 24, 2022
Deep deconfounded recommender (Deep-Deconf) for paper "Deep causal reasoning for recommendations"
Deep Causal Reasoning for Recommender Systems The codes are associated with the following paper: Deep Causal Reasoning for Recommendations, Yaochen Zh
12 Jan 18, 2022
Deep deconfounded recommender (Deep-Deconf) for paper "Deep causal reasoning for recommendations"
Deep Causal Reasoning for Recommender Systems The codes are associated with the following paper: Deep Causal Reasoning for Recommendations, Yaochen Zh
22 Oct 15, 2022
OMDB-and-TasteDive-Mashup - Mashing up data from two different APIs to make movie recommendations.
OMDB-and-TasteDive-Mashup This hadns-on project is in the Python 3 Programming Specialization offered by University of Michigan via Coursera. Mashing
1 Jan 5, 2022
Pydocstringformatter - A tool to automatically format Python docstrings that tries to follow recommendations from PEP 8 and PEP 257.
Pydocstringformatter A tool to automatically format Python docstrings that tries to follow recommendations from PEP 8 and PEP 257. See What it does fo
31 Dec 29, 2022
Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining
Scene Text Recognition Recommendations Everythin about Scene Text Recognition SOTA • Papers • Datasets • Code Contents 1. Papers 2. Datasets 2.1 Synth
197 Jan 5, 2023
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
HierarchicyBandit Introduction This is the implementation of WSDM 2022 paper : Show Me the Whole World: Towards Entire Item Space Exploration for Inte
5 Sep 9, 2022
Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which he recommends to buy. We will use this data to build a portfolio
Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which
12 Aug 30, 2022
Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them
Django Query Profiler This is a query profiler for Django applications, for helping developers answer the question "My Django code/page/API is slow, H
116 Dec 15, 2022
An adaptable Snakemake workflow which uses GATKs best practice recommendations to perform germline mutation calling starting with BAM files
Germline Mutation Calling This Snakemake workflow follows the GATK best-practice recommandations to call small germline variants. The pipeline require
12 Dec 24, 2022
Django query profiler - one profiler to rule them all. Shows queries, detects N+1 and gives recommendations on how to resolve them
Django Query Profiler This is a query profiler for Django applications, for helping developers answer the question "My Django code/page/API is slow, H
116 Dec 15, 2022
Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)
Debiasing Item-to-Item Recommendations With Small Annotated Datasets This is the code for our RecSys '20 paper. Other materials can be found here: Ful
34 Aug 10, 2022
Elliot is a comprehensive recommendation framework that analyzes the recommendation problem from the researcher's perspective.
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
215 Nov 29, 2022