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Faster Learned Sparse Retrieval with Block-Max Pruning. ACM SIGIR 2024.
Netboot a fleet of desktop machines from a single base image
Research on Learned Sparse Retrieval Derived from Transformers-based Ranking for Information Retrieval
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Rust port of dendibakh/perf-ninja - an online course where you can learn and master the skill of low-level performance analysis and tuning.
A bunch of links to blog posts, articles, videos, etc for learning Rust
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
PISA: Performant Indexes and Search for Academia
Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question ans…
Repo of code and data for SIGIR-19 short paper "Deeper Text Understanding for IR with Contextual NeuralLanguage Modeling"
An Empirical Study on Pre-trained Language Models for Neural Keyphrase Generation
Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.
Evaluation tools shared across anserini, pyserini, and pygaggle
A Collection of BM25 Algorithms in Python
hosseinfani / ReQue
Forked from fani-lab/ReQueA Benchmark Workflow and Dataset Collection for Query Refinement
Training & evaluation library for text-based neural re-ranking and dense retrieval models built with PyTorch
Fast and memory-efficient ANN with a subset-search functionality