Rapid fuzzy string matching in C++ using the Levenshtein Distance
- cpp
- levenshtein
- string-matching
- string-similarity
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Rapid fuzzy string matching in C++ using the Levenshtein Distance
Official library for RaBitQ vector quantization and approximate nearest-neighbor search, in C++ and Python.
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). This library support multiple .NET versions including .NET Core (NETStandard 1.x)
Levenshtein distance and similarity metrics with customizable edit costs and Winkler-like bonus for common prefix.
String similarity metrics for Elixir
Estimate the phonetic distance between Chinese words and get similar sounding candidate words.
PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.
Edit distance algorithms inc. Jaro, Damerau-Levenshtein, and Optimal Alignment
Fuzzy String Matching in Free Pascal - Port of FuzzyWuzzy
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Accelerated similarity searching of small molecules (bioconductor package)