Showing 6 open source projects for "text mining concept"

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  • 1
    Large Concept Model

    Large Concept Model

    Language modeling in a sentence representation space

    ...The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically from large image–text or weakly supervised corpora. It includes utilities to build concept vocabularies, map supervision signals to those vocabularies, and measure zero-shot or few-shot generalization. Probing tools help diagnose what the model knows—e.g., attribute recognition, relation understanding, or compositionality—so you can iterate on data and objectives. ...
    Downloads: 0 This Week
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  • 2
    SAM 3

    SAM 3

    Code for running inference and finetuning with SAM 3 model

    SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short phrase or exemplars, scaling to a vastly larger set of categories than traditional closed-set models. ...
    Downloads: 18 This Week
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  • 3
    Qwen3 Embedding

    Qwen3 Embedding

    Designed for text embedding and ranking tasks

    ...It is meant for tasks such as text retrieval, classification, clustering, bitext mining, and code retrieval.
    Downloads: 0 This Week
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  • 4
    Prompt-to-Prompt

    Prompt-to-Prompt

    Latent Diffusion and Stable Diffusion Implementation

    ...The repository includes reference notebooks and scripts that plug into popular latent diffusion backbones, making it practical to try the technique on your own prompts and seeds. It’s especially useful for workflows that need consistent framing, product shots, illustrations, and concept art, etc.
    Downloads: 0 This Week
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  • 5
    Krea 2 Turbo

    Krea 2 Turbo

    Fast 12B image model for high-quality text-to-image generation

    Krea 2 Turbo is Krea AI’s flagship open-weight text-to-image diffusion model optimized for fast, high-quality image generation. Built on a 12-billion-parameter Diffusion Transformer (DiT), it is a distilled and post-trained version of the Krea 2 Raw checkpoint, enabling photorealistic and artistic image synthesis in as few as eight inference steps. Designed for creative professionals, developers, and researchers, it supports concept art, design exploration, marketing assets, illustrations, and commercial visual production. ...
    Downloads: 0 This Week
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  • 6
    Krea 2 Raw

    Krea 2 Raw

    Base Krea image model for LoRA training and fine-tuning

    Krea 2 Raw is Krea AI’s base open-weight text-to-image diffusion checkpoint, designed primarily for fine-tuning, LoRA training, and post-training rather than direct inference. It is part of the Krea 2 model family and uses a 12-billion-parameter Diffusion Transformer architecture to generate images from natural-language prompts. Unlike Krea 2 Turbo, which is distilled and optimized for faster direct generation, Raw is the foundational checkpoint before additional post-training and...
    Downloads: 0 This Week
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