Unified LLM API client library for Python. Simple API for Chat, Embedding, Rerank, and Tokenizer. OpenAI-compatible with streaming support and unified usage tracking.
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Updated
Feb 13, 2026 - Python
Unified LLM API client library for Python. Simple API for Chat, Embedding, Rerank, and Tokenizer. OpenAI-compatible with streaming support and unified usage tracking.
The Tensorflow implementation of accepted ACL 2018 paper "A deep relevance model for zero-shot document filtering", Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen, http://aclweb.org/anthology/P18-1214
Pytorch implementation of CACM (WSDM'20)
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
ir_explain: a Python Library of Explainable IR Methods
An information retrieval system for document ranking. Implementation and evaluation of Okapi BM25, Cosine Similarity, and Language Models for document ranking and retrieval. Includes precision-recall evaluation metrics and a detailed project report.
EE448 Big Data Mining Project: Query Expansion with Rocchio Algorithm & Document Ranking with BM25 Score
Information Retrieval | CS60092 | Bool-Search, Ranker, WordNet Summarizer
🔝 HW1 of Intelligent Information Retrieval MSc Course ECE@UT
This repo contains mini projects in Information Retrieval. Covers indexing, document ranking, web crawling, page ranking, and evaluating different models
😷 Attempt on deep learning track challenge in TREC 2019 - https://microsoft.github.io/TREC-2019-Deep-Learning/
Scikit-learn implementation of co-occurrence word graph based semantic query search using machine learning and vector space similarity measures.
TinyBERT-based bi-encoder, cross-encoder, and poly-encoder trained on MS MACRO for passage re-ranking
Probabilistic Reasoning and Bayes Rule; Text Data Analysis; Document Ranking and Evaluation.
Implement the Pivoted Normalization and BM25 Retrieval Functions
Created a document ranking system with Boolean, probabilistic, and vector space models.
Assignment Submission for course Information Retrieval (CS F469)
Galago related homeworks of Information Retrieval Course
A search engine that ranks documents by relevance to a query using a weighting scheme, tokenization, stop word removal, and stemming
Évaluation de la pertinence (question ↔ article juridique) en français. Pipeline complet (prépa → modèles → soumission) avec CamemBERT en bi-encodeur calibré (MSE/Spearman), + variantes cross-encoder.
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