Accelerated deep learning R&D
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TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
- tensorflow-recommenders
- tensorflow
- recommender
- recommender-system
fastFM: A Library for Factorization Machines
- machine-learning
- recommender-system
- factorization-machines
- matrix-factorization
A list of recommended research papers and other readings on data visualization
Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.
A library of metrics for evaluating recommender systems
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
- coursework
- fraud-detection
- introduction-to-machine-learning
- machine-learning
A prototypical .NET solution (file system layout and tooling), recommended for F# projects
A list of recommended Python libraries, and resources, intended for scientific Python users.
Inject OWASP recommended HTTP Headers for increased security in a single line
Recommendation engine for Go
- hacktoberfest
An opinionated, curated list of tools for enforcing software development standards: one recommended tool per job, with limits.
A collection of older plotting libraries for F#. Recommended to use Plotly.NET instead https://plotly.net/
- fsharp
A C library for product recommendations/suggestions using collaborative filtering (CF)
- collaborative-filtering
- c
- machine-learning
- recommendation-engine
Proper YAML support for Objective-C. Based on recommended libyaml.
:movie_camera: Everything about your movies within the command line.
- movies
- movies-sorted
- python
- movie-recommendation
Collaborative Filtering (CF) Algorithms in Go!
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.
Real-time decision features without streaming infra. Turn live events into product reflexes — no Kafka, no Flink, no feature store.
- analytics
- feature-store
- fraud-detection
- python
Neo4j based Recommendation Engine Framework for PHP
TranslatedMcDonald's meal pairing decision Skill | Computes the top three optimal choices out of 1881 combinations, and tells you why they are not the others. Calorie control, dietary restrictions, and max-min fair allocation for group orders; the LLM does not take part in calculating money, and every number is traceable.
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.
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TranslatedVRS Application Recommendation System (志愿 "zhiyuan", college application choices): FastAPI + Neo4j + DeepSeek, with Zhejiang gaokao (college entrance exam) historical data as an example, including Excel data templates.