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two-tower-model

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hoangtung386 / Building-recommendation-systems-notes

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Building Recommendation Systems in Python and JAX — a fork migrated from TensorFlow/JAX/Flax to pure PyTorch (Python 3.11+). Three sub-projects: Pinterest Shop-the-Look (two-tower CNN, triplet loss), Spotify Million Playlist (embedding-based retrieval, contrastive learning), Wikipedia NLP (GloVe co-occurrence + LSTM text-to-URL).

python nlp spotify machine-learning deep-learning pinterest pytorch collaborative-filtering pyspark recommendation-system recommender-system glove embedding playlist-continuation wandb two-tower-model wikipedia-nlp
  • Updated Jun 9, 2026
  • TeX

itsmar1 / multimodal-hybrid-recommender-system

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A multimodal hybrid movie recommendation engine that combines Collaborative Filtering, Content-Based Filtering, and a Hybrid Fusion layer, with genuine multimodal features via OpenAI CLIP (poster images + text metadata).

docker pytorch collaborative-filtering matrix-factorization recommender-system clip multimodal content-based-filtering fastapi hybrid-recommender streamlit movie-recommedation two-tower-model infonce-loss
  • Updated Apr 5, 2026
  • Jupyter Notebook

ZihanYin12138 / 2025-11-Google-Map-Review-Data-Analysis-and-Machine-Learning

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An extended ML portfolio evolving from Monash FIT5196 coursework. Features an award-winning EDA report and a Multimodal Sentiment Classifier (RoBERTa + Swin + LoRA) trained on 5.7M Google Maps reviews.

nlp data-science machine-learning big-data computer-vision deep-learning sentiment-analysis transformers eda pytorch data-wrangling lora multimodal-learning roberta swin-transformer two-tower-model
  • Updated Mar 24, 2026
  • Jupyter Notebook

sundar139 / Two-Tower-Recommendation-System

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Transformer-enhanced two-tower recommender on MovieLens-25M with CL-EPIDTN-style contrastive learning for sparse-user and long-tail robustness. FAISS retrieval, neural reranker, FastAPI serving, MLflow experiment tracking, and Ollama-powered recommendation explanations.

python machine-learning information-retrieval deep-learning transformers pytorch embeddings recommendation-system movielens reranking faiss mlops mlflow fastapi sequential-recommendation contrastive-learning retrieval-augmented llmops ollama two-tower-model
  • Updated May 21, 2026
  • Python

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