Search Results for "python text parser" - Page 73

Showing 1838 open source projects for "python text parser"

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  • 1

    scripthea

    Scripthea is designed to streamline of crafting prompts for T2I gen.

    Scripthea is a free, open-source Windows application designed to streamline the process of crafting prompts for text-to-image AI generators like Stable Diffusion. Scripthea offers a structured environment for building, testing, and refining prompts, making it an invaluable tool for artists, designers, and AI enthusiasts seeking greater control over their creative outputs. At its core, Scripthea simplifies prompt engineering by breaking down prompts into two components: cues (descriptive text...
    Downloads: 0 This Week
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  • 2
    InDE is going to be a platform independent C/C++ IDE based on the FOX-Toolkit. It will support managed projects using SCons. We're at planning phase at the moment, feel free to join the InDE-devel mailinglist to get information about the actual status.
    Downloads: 0 This Week
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  • 3
    Das Projekt ist nach Github umgezogen, weil ich mit der Politik von SF.net nicht einverstanden bin. Der LaTeX-Assistant hilft das Grundgerüst einer LaTeX-Datei zusammenzustellen. --- The LaTeX-Assistant assists on creating the basic structure of a LaTeX file.
    Downloads: 0 This Week
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  • 4
    This editor aims to help users creating their own ebooks in the newly released Open Publishing standard defined by International Digital Publishing Forum. The editor will permit the creatioin of ebook in OCF-1.0 format (.epub)
    Downloads: 0 This Week
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  • 5
    stable-diffusion-3-medium

    stable-diffusion-3-medium

    Efficient text-to-image model with enhanced quality and typography

    Stable Diffusion 3 Medium is a next-generation text-to-image model by Stability AI, designed using a Multimodal Diffusion Transformer (MMDiT) architecture. It offers notable improvements in image quality, prompt comprehension, typography, and computational efficiency over previous versions. The model integrates three fixed, pretrained text encoders—OpenCLIP-ViT/G, CLIP-ViT/L, and T5-XXL—to interpret complex prompts more effectively. Trained on 1 billion synthetic and filtered public images...
    Downloads: 0 This Week
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  • 6
    Llama-2-7b

    Llama-2-7b

    7B-parameter foundational LLM by Meta for text generation tasks

    Llama-2-7B is a foundational large language model developed by Meta as part of the Llama 2 family, designed for general-purpose text generation in English. It has 7 billion parameters and uses an optimized transformer-based, autoregressive architecture. Trained on 2 trillion tokens of publicly available data, it serves as the base for fine-tuned models like Llama-2-Chat. The model is pretrained only, meaning it is not optimized for dialogue but can be adapted for various natural language...
    Downloads: 0 This Week
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  • 7
    GPT-2

    GPT-2

    GPT-2 is a 124M parameter English language model for text generation

    GPT-2 is a pretrained transformer-based language model developed by OpenAI for generating natural language text. Trained on 40GB of internet data from outbound Reddit links (excluding Wikipedia), it uses causal language modeling to predict the next token in a sequence. The model was trained without human labels and learns representations of English that support text generation, feature extraction, and fine-tuning. GPT-2 uses a byte-level BPE tokenizer with a vocabulary of 50,257 and handles...
    Downloads: 0 This Week
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  • 8
    Dia-1.6B

    Dia-1.6B

    Dia-1.6B generates lifelike English dialogue and vocal expressions

    Dia-1.6B is a 1.6 billion parameter text-to-speech model by Nari Labs that generates high-fidelity dialogue directly from transcripts. Designed for realistic vocal performance, Dia supports expressive features like emotion, tone control, and non-verbal cues such as laughter, coughing, or sighs. The model accepts speaker conditioning through audio prompts, allowing limited voice cloning and speaker consistency across generations. It is optimized for English and built for real-time performance...
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  • 9

    csv2xls

    converts csv files into one (or more if splitted) xls file(s)

    There exist solutions already. But maybe for some people it is not possible or acceptable to install perl or python just for this small program. On Linux python and/or perl is often installed already. But on windows not. This csv2xls can be cross compiled for windows on Linux with mingw. It depends on: xlslib: http://sourceforge.net/projects/xlslib/ libcsv: http://sourceforge.net/projects/libcsv/ -= Limitations =- - produces only Excel(TM) 97/2000/XP/2003 - no cell formatting, just...
    Downloads: 0 This Week
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  • 10
    PyLit (Python-Literate) provides a plain but efficient tool for literate programming: a translator between a *text source* (reStructuredText_ with embedded code blocks) and a *code source* (source code with comment blocks).
    Downloads: 0 This Week
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  • 11
    This project, is a game which will generate an entire universe as more players explore! Written in Python and multiple interfaces (text MUD-like at first).
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  • 12

    Sharp View

    Very lightweight and minimalistic python browser with webkit

    A minimalistic, quick and simple (KISS simple) browser implemented in python using pywebkitgtk, pygtk and python 2.7.3. Do note that this project would use python 3.x, however the owner has no desire whatsoever to port webkit to python 3.x at this time. The goal of this project is to create a simple, fast and easily expandable (for now manually, later on with easy python addons). For now configuration will be done using text files and (in case of adding features) doing small modifications...
    Downloads: 0 This Week
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  • 13
    ERNIE-4.5-0.3B-Base-PT

    ERNIE-4.5-0.3B-Base-PT

    Compact 360M text model with high efficiency and fine-tuning support

    ERNIE-4.5-0.3B-Base-PT is a compact, fully dense transformer model with 360 million parameters, optimized for general-purpose text generation tasks. It belongs to the ERNIE 4.5 series by Baidu and leverages advanced pretraining techniques without relying on a Mixture-of-Experts (MoE) structure. The model features 18 transformer layers, 16 attention heads, and a maximum context length of 131,072 tokens, offering strong language understanding for its size. It can be fine-tuned using ERNIEKit...
    Downloads: 0 This Week
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  • 14
    Llama-2-7b-chat-hf

    Llama-2-7b-chat-hf

    Dialogue-optimized 7B language model for safe and helpful chatting

    Llama-2-7b-chat-hf is a fine-tuned large language model developed by Meta, designed specifically for dialogue use cases. With 7 billion parameters and built on an optimized transformer architecture, it uses supervised fine-tuning and reinforcement learning with human feedback (RLHF) to enhance helpfulness, coherence, and safety. It outperforms most open-source chat models and rivals proprietary systems like ChatGPT in human evaluations. Trained on 2 trillion tokens of public text and over 1...
    Downloads: 0 This Week
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  • 15
    stable-diffusion-2-1

    stable-diffusion-2-1

    Latent diffusion model for high-quality text-to-image generation

    Stable Diffusion 2.1 is a text-to-image generation model developed by Stability AI, building on the 768-v architecture with additional fine-tuning for improved safety and image quality. It uses a latent diffusion framework that operates in a compressed image space, enabling faster and more efficient image synthesis while preserving detail. The model is conditioned on text prompts via the OpenCLIP-ViT/H encoder and supports generation at resolutions up to 768×768. Released under the OpenRAIL...
    Downloads: 0 This Week
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  • 16
    stable-diffusion-3.5-large

    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...
    Downloads: 0 This Week
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  • 17
    ERNIE-4.5-300B-A47B-FP8-Paddle

    ERNIE-4.5-300B-A47B-FP8-Paddle

    ERNIE 4.5 MoE model in FP8 for efficient high-performance inference

    ERNIE-4.5-300B-A47B-FP8-Paddle is a quantized version of Baidu’s MoE large language model, post-trained for text generation tasks and optimized for FP8 precision. This variant retains the original’s 300 billion total parameters with 47 billion active per token, enabling powerful language understanding while dramatically improving inference efficiency. Built using PaddlePaddle, it supports multi-GPU distributed deployment and leverages advanced routing strategies and expert parallelism...
    Downloads: 0 This Week
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  • 18

    mobile-prefix-checker-philippines

    A simple Python script to identify mobile networks based on prefixes

    The Mobile Prefix Checker is a lightweight and efficient tool designed to help users quickly identify the telecom provider (e.g., Smart, Globe, Sun Cellular, etc.) of a mobile number based on its prefix. It is an essential utility for developers, businesses, and individuals dealing with mobile communications in the Philippines.
    Downloads: 0 This Week
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  • 19

    sinergis-dictio

    reader for the JSON representation of The Cynic's Word Book

    A Python 3 responsive reader for the JSON representation of The Cynic's Word Book Download the bundle "cynics_wordbook.exe" (presently only for Windows) from the repository and run it - no need to install. If you use Pydroid or Phytonista, download the files "gui_dict.py" and "bierce.json" into the same folder on your mobile device, and run the .py file. Either way, when you run the program it will appear a small window. Enter the word which definition you're looking for in the text...
    Downloads: 0 This Week
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  • 20
    hexabot

    hexabot

    Hexabot is an open-source AI chatbot / agent builder.

    Hexabot is an open-source AI chatbot / agent solution. It allows you to create and manage multi-channel, and multilingual chatbots / agents with ease. Hexabot is designed for flexibility and customization, offering powerful text-to-action capabilities. Originally a closed-source project (version 1), we've now open-sourced version 2 to contribute to the community and enable developers to customize and extend the platform with extensions.
    Downloads: 0 This Week
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  • 21

    tKroopy

    Open source tkinter framework for grouping small applications together

    tKroopy is an open source Tkinter framework for building groups of small to medium GUI applications - Think of it as a hub for your applications and scripts. tKroopy includes some additional widgets to make building applications faster.
    Downloads: 0 This Week
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  • 22
    .nIRC is an IRC client written in C#. It has full support for text formatting, file sending, etc, and allows the use of IronPython scripts in order to make further customisation easier.
    Downloads: 0 This Week
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  • 23
    JavaMeeting is a great way to conduct a business meeting. Create presentations, audio and video chat, text chat, create polls, and much much more.
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  • 24
    mms-300m-1130-forced-aligner

    mms-300m-1130-forced-aligner

    CTC-based forced aligner for audio-text in 158 languages

    mms-300m-1130-forced-aligner is a multilingual forced alignment model based on Meta’s MMS-300M wav2vec2 checkpoint, adapted for Hugging Face’s Transformers library. It supports forced alignment between audio and corresponding text across 158 languages, offering broad multilingual coverage. The model enables accurate word- or phoneme-level timestamping using Connectionist Temporal Classification (CTC) emissions. Unlike other tools, it provides significant memory efficiency compared...
    Downloads: 0 This Week
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  • 25
    Nanonets-OCR-s

    Nanonets-OCR-s

    State-of-the-art image-to-markdown OCR model

    Nanonets-OCR-s is an advanced image-to-markdown OCR model that transforms documents into structured and semantically rich markdown. It goes beyond basic text extraction by intelligently recognizing content types and applying meaningful tags, making the output ideal for Large Language Models (LLMs) and automated workflows. The model expertly converts mathematical equations into LaTeX syntax, distinguishing between inline and display modes for accuracy. It also generates descriptive <img> tags...
    Downloads: 0 This Week
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