CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
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Jan 21, 2022 - Python
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candidate-generation
Here are 13 public repositories matching this topic...
A vector database for querying meaningfully similar data.
rust machine-learning embeddings semantic-search multi-modal-search vector-database candidate-generation retrieval-augmented-generation
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Mar 9, 2025 - Rust
Combining Linking Techniques (CLiT) is an entity linking combination and execution framework, allowing for the seamless integration of EL systems and result exploitation for the sake of system reusability, result reproducibility, analysis and continuous improvement. (We hate waste. Especially wasting time. So let's reuse instead!)
nlp natural-language-processing framework disambiguation knowledge-graph named-entity-recognition entity-linking named-entity-linking candidate-selection named-entity-disambiguation mention-detection candidate-generation
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Apr 23, 2024 - Python
Offline Yelp ranking stack with route-aware recall, structured XGBoost rerank, and reward-model rescue reranking.
pyspark ranking xgboost recommender-system reward yelp-dataset mlops dpo candidate-generation llm reward-model qlora
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Apr 27, 2026 - Python
A scalable two-stage news recommender that retrieves relevant candidates and reranks them using hybrid lexical and semantic features to optimize top-K recommendation quality.
nlp xgboost logistic-regression hit ndcg priors lexical-semantics mlp-classifier mrr distilbert microsoft-newsqa-dataset candidate-generation content-similarity ranking-models hard-negatives news-recommendation-system mind-dataset ndcg-ranking
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Jan 16, 2026 - Jupyter Notebook
Deterministic invoice extraction using native PDF text layers. No OCR nonsense, no brittle rules that break at scale, no vendor lock-in paying exorbitant prices for creative interpretations of financial documents. This is my battle, I pick this hill!
python machine-learning provenance xgboost document-processing hungarian-assignment pdf-extraction invoice-processing candidate-generation invoice-extraction span-extraction invoice-automation native-text-layer semver-hash-versioning feature-span deterministic-sisyphus
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Mar 23, 2026 - Python
Two-stage recommender system: PyTorch Two-Tower retrieval + FAISS ANN candidate generation + XGBoost LambdaMART re-ranking, served via FastAPI with a Streamlit demo and MLflow experiment tracking.
python machine-learning pytorch xgboost learning-to-rank recsys recommender-system reranking faiss mlflow fastapi streamlit candidate-generation two-tower-models
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Jul 10, 2026 - Python
Hybrid product recommender system combining SVD-based collaborative filtering, TF-IDF content-based filtering, candidate generation, offline evaluation, and an interactive Streamlit interface.
data-science machine-learning scikit-learn collaborative-filtering recommendation-engine recommender-system svd tfidf surprise amazon-reviews content-based-filtering hybrid-recommender streamlit candidate-generation top-k-recommendation
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Jul 14, 2026 - Jupyter Notebook
Large-scale e-commerce recommendation engine with memory-efficient co-visitation, leakage-safe evaluation, feature engineering, and LightGBM LambdaRank reranking.
python machine-learning ecommerce data-engineering lightgbm learning-to-rank recommender-system feature-engineering lambdarank recomendation-system candidate-generation polars co-visitation
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Jul 13, 2026 - Python
A high-precision homolog screening and candidate prioritization tool integrating reciprocal BLAST evidence with interpretable expression ranking.
python cli bioinformatics blast comparative-genomics transcriptomics gene-prioritization orthologs candidate-generation plant-biology
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Apr 22, 2026 - Python
Production-ready recommender system suite: serving API, pipelines, algorithm SDK, and evaluation tooling.
api recommendations docker kubernetes cli golang microservices retrieval helm ranking recommendation-system recsys ab-testing recommender-system data-pipelines interleaving ope mlops candidate-generation offline-evaluation
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May 24, 2026 - Go
A reproducible, resource-aware solution for the Kaggle OTTO multi-objective recommendation competition, featuring co-visitation retrieval, target-aware candidates, LambdaMART ranking, and neural retrieval experiments.
cuda pytorch kaggle collaborative-filtering xgboost learning-to-rank recommender-system otto multi-objective faiss sequential-recommendation sasrec candidate-generation co-visitation
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Jul 14, 2026 - Python
Zero-Click Search recommender for ONCF Voyages — XGBoost two-stage ranking, FastAPI, HR@1=76%. PFA internship UM5/ONCF.
python machine-learning railway xgboost recommender-system fastapi onnx-runtime candidate-generation oncf zero-click-search
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Jun 28, 2026 - Python
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