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Showing 1728 open source projects for "text"
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Chinese Llama 2 7B
The first Chinese LLaMA2 model in the open source community
Chinese Llama 2 7B is an open-source large language model adapted from the LLaMA-2 architecture and optimized for Chinese and bilingual Chinese-English applications. The project provides a version of LLaMA-2 that has been further trained on Chinese data so it can better understand and generate text in Chinese while maintaining compatibility with the original model ecosystem. In addition to the model weights, the repository also includes supervised fine-tuning datasets and training resources that help developers build chat-optimized versions of the model. The project follows the input format used by the LLaMA-2 chat architecture, ensuring compatibility with existing optimization techniques and tools built for the LLaMA-2 ecosystem. ... -
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CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper
CogView is a large-scale pretrained text-to-image transformer model, introduced in the NeurIPS 2021 paper CogView: Mastering Text-to-Image Generation via Transformers. With 4 billion parameters, it was one of the earliest transformer-based models to successfully generate high-quality images from natural language descriptions in Chinese, with partial support for English via translation. -
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Hannes File Cleaner
Automated file organization in a user-friendly GUI
Automated file organization by moving them from a source folder to specific destination folders based on their types, such as images, text, sound, and video files. It provides a user-friendly interface. -
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State of Open Source AI
Clarity in the current fast-paced mess of Open Source innovation
...The structure includes chapters or sections about model formats, evaluation benchmarks, hardware/backends, MLOps systems, alignment and safety issues, and open datasets. The repository contains the text (in Markdown or similar), configuration for build or publishing (static site or e-book), and contributor guidelines. -
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SoftVC VITS Singing Voice Conversion
SoftVC VITS Singing Voice Conversion
SoftVC VITS Singing Voice Conversion is a deep learning project focused on singing voice conversion, allowing users to transform one voice into another while preserving melody and timing. Unlike traditional text-to-speech systems, it specializes specifically in singing scenarios and does not provide general TTS functionality. The project leverages neural network architectures derived from VITS and SoftVC research to achieve high-quality voice transformation. It is commonly used in creative audio workflows, especially in communities experimenting with synthetic singing and character voices. ... -
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NExfil
Fast OSINT tool for discovering web profiles by username
NExfil is an open source OSINT (Open Source Intelligence) tool designed to locate user profiles across the web based on a given username. Developed in Python, the tool automates the process of checking hundreds of websites to determine whether a specific username exists on those platforms. By performing automated queries across numerous services, NExfil helps investigators, researchers, and security professionals quickly identify potential accounts associated with a particular username. The... -
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Stable Diffusion in Docker
Run the Stable Diffusion releases in a Docker container
...Since it uses the model, you will need to create a user access token in your Huggingface account. Save the user access token in a file called token.txt and make sure it is available when building the container. Create an image from an existing image and a text prompt. Modify an existing image with its depth map and a text prompt. -
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ControlNet
Let us control diffusion models
ControlNet is a neural network architecture designed to add conditional control to text-to-image diffusion models. Rather than training from scratch, ControlNet “locks” the weights of a pre-trained diffusion model and introduces a parallel trainable branch that learns additional conditions—like edges, depth maps, segmentation, human pose, scribbles, or other guidance signals. This allows the system to control where and how the model should focus during generation, enabling users to steer layout, structure, and content more precisely than prompt text alone. ... -
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Super Easy AI Installer Tool
Application that simplifies the installation of AI-related projects
..."Super Easy AI Installer Tool" is currently in early development phase and may have a few bugs. But remains a great solution for users with minimal technical knowledge or expertise. Fixes underway. A tool that can generate animations and music from text, ideal for producing short videos and GIFs, as well as creating brief cinematic scenes. -
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Medusa
Framework for Accelerating LLM Generation with Multiple Decoding Heads
Medusa is a framework aimed at accelerating the generation capabilities of Large Language Models (LLMs) by employing multiple decoding heads. This approach allows for parallel processing during text generation, significantly enhancing throughput and reducing response times. Medusa is designed to be simple to implement and integrates with existing LLM infrastructures, making it a practical solution for scaling LLM applications. -
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MusicLM - Pytorch
Implementation of MusicLM music generation model in Pytorch
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch. They are basically using text-conditioned AudioLM, but surprisingly with the embeddings from a text-audio contrastive learned model named MuLan. MuLan is what will be built out in this repository, with AudioLM modified from the other repository to support the music generation needs here. -
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Basaran
Basaran, an open-source alternative to the OpenAI text completion API
Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models. The open source community will eventually witness the Stable Diffusion moment for large language models (LLMs), and Basaran allows you to replace OpenAI's service with the latest open-source model to power your application without modifying a single line of code. -
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Sound to Text
Convert a sound file to text to analyze it
Convert a sound file to text you can analyze to spot hidden words for psychological or universal-philosophical interpretation. The program will convert a sound file to text, with the purpose of analyzing it to spot intelligible words. Use the program with songs, movie or TV dialogue, private recordings, to reveal the hidden text messages of the sound. The resulting text will be a long string of mostly repeating characters but, every so often, you will notice an intelligible word, either spelled normally or with repeated letters, missing letters or anagrammed letters. ... -
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LLaMA
Inference code for Llama models
“Llama” is the repository from Meta (formerly Facebook/Meta Research) containing the inference code for LLaMA (Large Language Model Meta AI) models. It provides utilities to load pre-trained LLaMA model weights, run inference (text generation, chat, completions), and work with tokenizers. Tokenizer utilities, download scripts, shell helpers to fetch model weights with correct licensing/permissions. Includes example scripts for chat completions and text completions to show how to call the models in code. This repo is a core piece of the Llama model infrastructure, used by researchers and developers to run LLaMA models locally or in their infrastructure. ... -
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UniEM
Unified embedding model
UniEM is a unified embedding model designed to create high-quality text embeddings for various natural language processing tasks. -
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Parveshdhull AutoTyper
A Data Entry Tool for Windows and Linux
...And even if they are free, it is not wise to give complete access to a keyboard to any third-party software. So I wrote this simple-short python script that reads content from a text file then simulates keyboard typing. This Script works on both Linux and Windows. -
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Image to Text
Convert an image to text to spot intelligible words.
...The resulting text will be a long string of mostly repeating characters but, every so often, you will notice an intelligible word, either spelled normally or with repeated letters, missing letters or anagrammed letters. -
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StoryTeller
Multimodal AI Story Teller, built with Stable Diffusion, GPT, etc.
A multimodal AI story teller, built with Stable Diffusion, GPT, and neural text-to-speech (TTS). Given a prompt as an opening line of a story, GPT writes the rest of the plot; Stable Diffusion draws an image for each sentence; a TTS model narrates each line, resulting in a fully animated video of a short story, replete with audio and visuals. To develop locally, install dev dependencies and install pre-commit hooks. -
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funNLP
Resources, corpora, and tools for Chinese natural language processing
...It aggregates datasets, lexicons, wordlists, sentiment dictionaries, knowledge graphs, and pretrained model references, serving as a one-stop resource hub for Chinese NLP practitioners. The repository is organized into categories such as sentiment analysis, text classification, named entity recognition, knowledge graphs, and various lexicons (e.g. sensitive words, emotion dictionaries, stopwords). It also includes links to academic papers, open-source model implementations, and practical utilities like word segmentation or text cleaning scripts. The project is highly community-oriented, frequently updated with contributions and new resources, and it’s widely used in both academic and applied NLP research. ... -
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script-server
Web UI for your scripts with execution management
Script-server is a Web UI for scripts. As an administrator, you add your existing scripts into Script server and other users would be able to execute them via a web interface. The UI is very straightforward and can be used by non-tech people. No script modifications are needed - you configure each script in Script server and it creates the corresponding UI with parameters and takes care of validation, execution, etc. -
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JustMQTT
MQTT Client app built with Python
MQTT Client HMI built with Python to communicate via a Broker. Username, broker ip and topic are stored in a local text file. -
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Nougat
Implementation of Nougat Neural Optical Understanding
Nougat is a multi-modal generative modeling framework that bridges vision and text modalities with structured generation control (e.g. layout, scene composition) rather than treating images as flat contexts. It combines object-centric modules with transformer-based reasoning to propose, refine, and render scenes in a generative pipeline. The architecture allows you to specify or prompt a layout (which objects should be where) and then the model fills in appearance, context, lighting, and relations coherently. ... -
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OpenFlamingo
An open-source framework for training large multimodal models
Welcome to our open source version of DeepMind's Flamingo model! In this repository, we provide a PyTorch implementation for training and evaluating OpenFlamingo models. We also provide an initial OpenFlamingo 9B model trained on a new Multimodal C4 dataset (coming soon). Please refer to our blog post for more details. This repo is still under development, and we hope to release better-performing and larger OpenFlamingo models soon. If you have any questions, please feel free to open an... -
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Django cmsplugin-faq
FAQ plugin based on CKEditor for the Django-CMS project
Subclasses the django CMS Text CKEditor plugin (djangocms_text_ckeditor): - supports django-cms text plugins, a 'topic' field, link anchors in templates - CMSFAQEntryPlugin creates FAQ entries (questions & answers) - CMSFAQListPlugin creates <a> anchor list of FAQ entries, on the same page - CMSFAQEntryLinkPlugin links to specific, latest, or random CMSFAQEntries Current requirements: - Django >=4.2 - Django-CMS >=3.11 - djangocms_text_ckeditor >= 5.1.4 -
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Language Models
Explore large language models in 512MB of RAM
...By using small and optimized models, the library allows LLM inference to run in environments with limited resources, sometimes requiring only a few hundred megabytes of memory. The package provides simple APIs that allow developers to generate text, perform semantic search, classify text, and answer questions using local models. It is particularly useful for educational purposes, as it demonstrates the fundamental mechanics of language model inference and prompt-based applications. The repository includes multiple example applications such as chatbots, document question answering systems, and information retrieval tools.