Search Results for "pyqt for python 3.5" - Page 6
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Showing 131 open source projects for "pyqt for python 3.5"
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stable-diffusion-3.5-large
Advanced MMDiT text-to-image model for high-quality visual generation
Stable Diffusion 3.5 Large is a multimodal diffusion transformer (MMDiT) developed by Stability AI, designed for generating high-quality images from text prompts. It integrates three pretrained text encoders—OpenCLIP-ViT/G, CLIP-ViT/L, and T5-XXL—with QK-normalization for improved training stability and prompt understanding. This model excels in handling typography, detailed scenes, and creative compositions while maintaining resource efficiency. It supports inference via ComfyUI, Hugging Face... -
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KPyBT is a BitTorrent Client programed in Python with PyQT/PyKDE bindings. It uses the original BitTorrent Python API.
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A personal dictionary written in Python using PyQt. Kimchi allows creation of multiple dictionaries, each of them structured in a variable number of searchable columns.
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Grasshopper is a type of web browser that is based off the idea that every site is a program instead of a document. Written in Python and using the Qt widget set with PyQt bindings, it is a truly platform independent framework for writing applications.
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Foton is a photo manager developed with the usage of python, pyqt and exiv2. Main features I hope to implement are: - A good tag management an organizing of pictures, tagging of people and in the future connection to facebook... Very early stage..
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phi-2
Small, high-performing language model for QA, chat, and code tasks
Phi-2 is a 2.7 billion parameter Transformer model developed by Microsoft, designed for natural language processing and code generation tasks. It was trained on a filtered dataset of high-quality web content and synthetic NLP texts created by GPT-3.5, totaling 1.4 trillion tokens. Phi-2 excels in benchmarks for common sense, language understanding, and logical reasoning, outperforming most models under 13B parameters despite not being instruction-tuned or aligned via RLHF. It performs best...
