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  • 1
    Memobase

    Memobase

    Fast backend for long-term AI user memory via structured profiles

    ...The system focuses on three principal performance metrics: high search performance, reduced large language model (LLM) costs through batch processing techniques, and low latency with minimal SQL operations. Memobase supports integration with existing LLM workflows via APIs and SDKs (including Python, Node, and Go), making it easy to adopt within diverse application stacks.
    Downloads: 2 This Week
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  • 2
    civitai

    civitai

    Open platform for sharing and discovering Stable Diffusion models

    Civitai is an open source project that provides the codebase for a platform designed to share and manage generative AI models used for image generation. It focuses primarily on models compatible with Stable Diffusion and related technologies, allowing creators to upload, organize, and distribute custom AI models and related resources. These resources can include textual inversions, hypernetworks, aesthetic gradients, and variational autoencoders that modify or extend the capabilities of...
    Downloads: 15 This Week
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  • 3
    ChatLab

    ChatLab

    Local-first AI chat analysis tool for insights from conversation data

    ...It enables users to import chat exports from multiple messaging platforms and transform them into a unified data model for consistent analysis. By combining a flexible SQL engine with AI agents, the tool allows users to query, summarize, and explore conversation patterns in a more interactive and intelligent way. ChatLab emphasizes a local-first approach, meaning all chat data is processed and stored on the user’s device rather than being uploaded to external servers. It supports large-scale datasets through streaming parsing and multi-worker processing, allowing it to handle millions of messages efficiently. ...
    Downloads: 4 This Week
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  • 4
    Databend

    Databend

    Cloud-native open source data warehouse for analytics and AI queries

    ...This architecture enables cost-efficient storage and elastic scaling for workloads that involve large datasets and complex queries. Databend provides a unified engine capable of handling analytics, vector search, and full-text search within a single platform. Databend supports SQL-based workflows and enables real-time data ingestion, transformation, and analysis through streaming and task orchestration features. With its cloud-native design and distributed architecture, Databend can run both as a self-hosted system or within managed environments to power data analytics, AI workloads, and large-scale data.
    Downloads: 0 This Week
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  • 5
    SQLFlow

    SQLFlow

    SQL compiler bridging databases and machine learning workflows

    SQLFlow is an open source project designed to bridge the gap between traditional SQL-based data processing and modern machine learning workflows by extending SQL syntax with AI capabilities. It acts as a compiler that translates SQL programs into executable workflows, enabling users to train, evaluate, and deploy machine learning models directly from SQL statements. It integrates with multiple database engines such as MySQL, Hive, and MaxCompute, while also supporting machine learning frameworks like TensorFlow and XGBoost. ...
    Downloads: 4 This Week
    Last Update:
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  • 6
    MultiPathNet

    MultiPathNet

    A Torch implementation of the object detection network

    ...This results in improved detection accuracy across various object sizes and categories compared to standard single-path architectures. The repository supports training, evaluation, and visualization for object detection tasks on popular datasets such as PASCAL VOC and MS COCO. It provides pre-trained models for VGG, AlexNet, and ResNet backbones, along with integration for SharpMask and DeepMask proposal generators.
    Downloads: 4 This Week
    Last Update:
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  • 7
    MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
    Downloads: 0 This Week
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  • 8
    The aim of MIEX (Metadata and Information Extractor from small XML documents) is to create a wrapper for the Stanford Parser, to extract and store metadata (syntactic structures, relationships among words...) from simple XML documents.
    Downloads: 0 This Week
    Last Update:
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  • 9
    NOTE: I couldn't keep up this project to align with latest Unicode spec. Not sure I may be continuing. You can try Myanmar3 from Myanmar NLP or WinUniInnwa or https://sourceforge.net/projects/prahita/ or something better compliant font. ~Victor --- [This is UniBurma - UniMM project workshop area. This project currently have two productions, UniBurma and UniMM. For more descriptive info about this project, please visit http://unimm.org/. You can browse lastest source from SVN trunk.]
    Downloads: 0 This Week
    Last Update:
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