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Large Language Model Text Generation Inference
Imaging is a simple image processing package for Go
chineseocr lite onnx，超轻量级中文ocr demo，支持onnx推理 ( dbnet+crnn+anglenet)
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/
A Go implementation of the 64-bit xxHash algorithm (XXH64)
The official Go client for Elasticsearch
BottomK minwise hashing for streaming set similarity
Probabilistic data structures for processing very large datasets (MinHash, HyperLogLog)
Various extensions for the Eino framework: https://github.com/cloudwego/eino
The ultimate LLM/AI application development framework in Golang.
Examples and demonstrations for using the Eino framework
Hnswlib to go. Golang interface to hnswlib(https://github.com/nmslib/hnswlib)
Header-only C++/python library for fast approximate nearest neighbors
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of …
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m…
Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsu…
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
TODS: An Automated Time-series Outlier Detection System
Anomaly detection related books, papers, videos, and toolboxes
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages