Search Results for "text based" - Page 31
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Showing 2772 open source projects for "text based"
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Chat with GPT
An open-source ChatGPT app with a voice
...Users can review past chat sessions, modify system prompts, and adjust model parameters such as temperature to control response creativity. The platform also integrates speech capabilities by connecting to text-to-speech systems and speech recognition engines, enabling voice-based conversations with the AI assistant. Additional features include message editing, response regeneration, and the ability to share conversations through public links. -
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PromptAppGPT
A rapid prompt app development framework based on GPT
PromptAppGPT is a low-code prompt-based rapid app development framework. PromptAppGPT contains features such as low-code prompt-based development, GPT text generation, DALLE image generation, online prompt editer+compiler+runer, automatic user interface generation, support for plug-in extensions, etc. PromptAppGPT aims to enable natural language app development based on GPT. -
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Sed
POSIX-compliant cross-platform sed function
The sed command is a command-line tool used for text manipulation in Unix and Linux systems, allowing users to perform operations like text substitution, line deletion, and insertion using pattern-based expressions. Licensed under GPL-3.0 license Source: https://github.com/rwtodd/Go.Sed Visit: http://albanese.atwebpages.com -
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Text editor implemented in Java using SWT for UI. It is intended to be a minimalist programmer's editor. It requires a Java Runtime and SWT, but should be OS independent.
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PromethAI
Open-source framework that gives you AI Agents
PromethAI-Backend is a backend framework for AI-driven automation and knowledge extraction. It is designed to integrate with large language models (LLMs) to provide AI-enhanced workflows, including content generation, summarization, and data analysis. -
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Felix OS
Experimental operating system written in Rust
felix is a simple 64-bit hobby operating system written in Rust, designed as an educational and personal exploration into systems programming. It features a monolithic kernel that supports basic multitasking, memory management, and user programs. Built from the ground up with Rust’s strong safety guarantees, felix aims to strike a balance between low-level hardware access and modern software practices. It runs on x86_64 platforms via QEMU and includes a basic shell and ELF binary loader,... -
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DiT (Diffusion Transformers)
Official PyTorch Implementation of "Scalable Diffusion Models"
DiT (Diffusion Transformer) is a powerful architecture that applies transformer-based modeling directly to diffusion generative processes for high-quality image synthesis. Unlike CNN-based diffusion models, DiT represents the diffusion process in the latent space and processes image tokens through transformer blocks with learned positional encodings, offering scalability and superior sample quality. The model architecture parallels large language models but for image tokens—each block refines noisy latent representations toward cleaner outputs through iterative denoising steps. ... -
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auto-subtitle
Automatically generate and overlay subtitles for any video
auto-subtitle is a Python-based command-line tool that automatically generates and overlays subtitles on video files using AI-driven speech recognition. It combines FFmpeg with OpenAI’s Whisper model to transcribe spoken audio into text and synchronize it with video playback. The tool processes video input, extracts audio, and produces subtitle files that can be either exported separately or burned directly into the final video output. -
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skhd
Simple hotkey daemon for macOS
skhd is a simple and efficient hotkey daemon for macOS that allows users to define custom keyboard shortcuts to control system behavior and automate workflows. It operates as a background service that listens for key combinations and executes commands or scripts based on user-defined configurations. The tool is particularly popular among power users who want to customize their macOS experience beyond default system limitations. It uses a plain-text configuration file, making it easy to define and modify keybindings without relying on graphical interfaces. skhd integrates well with other tools such as window managers, enabling advanced desktop automation and productivity enhancements. ... -
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Good Man in the Middle
Rule-based MITM engine. Rewriting, redirecting and rejecting on HTTP
Rule-based MITM engine. Rewriting, redirecting and rejecting on HTTP(S) requests and responses, supports JavaScript. -
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INIHandler
Cross-platform Command-line INI Files Handler written in Pure Go
Minimalist Cross-platform INI Files Handler. INI (Initialization) files are simple text-based configuration files that store application settings in key-value pairs organized into sections. In addition, INI files can be used to store configuration information hierarchically, allowing different sections to contain various settings for different components of a system or application. These files are widely supported by various programming languages and are easily human-readable and editable. ... -
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Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks
The Python Data Science Handbook is a comprehensive collection of Jupyter notebooks written by Jake VanderPlas covering fundamental Python libraries for data science, including IPython, NumPy, Pandas, Matplotlib, Scikit-Learn and more. The project is designed for data scientists, researchers, and anyone transitioning into Python-based data work; it assumes you already know basic Python and focuses more on how to use the ecosystem effectively. Each chapter is a standalone Jupyter notebook,... -
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Dennix
Dennix is a unix-like hobbyist operating system written from scratch
Dennix is a Unix-like operating system with a monolithic kernel written in C++ and a POSIX-compliant userland. It is a fully self-hosting operating system, meaning it can compile itself from within its own environment. Dennix includes a basic windowing system, dynamic linker, and terminal interface, and supports ELF binaries, memory management, and multitasking. As a hobbyist OS, it offers an impressive amount of functionality and polish, making it a notable example in the field of... -
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picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy
picoGPT is a minimal implementation of the GPT-2 language model designed to demonstrate how transformer-based language models work at a conceptual level. The repository focuses on educational clarity rather than production performance, implementing the core components of the GPT architecture in a concise and readable way. It allows users to understand how tokenization, transformer layers, attention mechanisms, and autoregressive text generation operate in modern large language models. ... -
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llm
An ecosystem of Rust libraries for working with large language models
...Documentation for the released version is available on Docs.rs. For end-users, there is a CLI application, llm-cli, which provides a convenient interface for interacting with supported models. Text generation can be done as a one-off based on a prompt, or interactively, through REPL or chat modes. The CLI can also be used to serialize (print) decoded models, quantize GGML files, or compute the perplexity of a model. It can be downloaded from the latest GitHub release or by installing it from crates.io. -
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onepoint
Assistant tool that integrates coding, writing, and reading functions
Onepoint is an open-source AI assistant based on Electron, designed to create the ultimate desktop productivity tool. Its initial goal was to develop a smart floating window similar to Apple's intelligent assistant that does not take up desktop space or system performance and can be quickly accessed through global hotkeys for user convenience. With ChatGPT technology, users can continuously train onepoint to generate and reconstruct content with greater accuracy (onpoint), thereby improving... -
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ftserver-android
Self-hosted search engine with web service to share discoveries with
Full Text Search Engine for Android Mobile, Windows Desktop, Linux Server. You can use the KeyWord to find relative WebSites, dig in important information, search answers. It has a web server inside, use it to share discoveries with people. App's Source Codes included, can be freely distributed over the internet in an unchanged or changed form. Check the file size after downloaded the Android APK. https://sourceforge.net/projects/ftserver-android/files/ The Code Repository... -
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Custom Fields Account Woocommerce
Custom Fields Account Registration For Woocommerce
Custom fields in WooCommerce allow you to add extra fields to the account registration and checkout pages, enabling you to gather specific information tailored to your business needs. The default WooCommerce registration form usually collects basic information like email, username, and password. By customizing the account registration fields, store owners can: Personalize the User Experience: Collecting personalized information allows you to greet customers by their names, tailor... -
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Cheetah
AI macOS app for real-time coding interview coaching assistance
Cheetah is an AI-powered macOS application designed to assist users during software engineering interview practice through real-time coaching capabilities. It integrates audio transcription and AI-generated responses to help users navigate technical interview questions as they happen. Cheetah uses a local speech-to-text engine based on Whisper to capture and transcribe conversations in real time, enabling it to understand interviewer prompts. It then leverages language models to generate suggested answers, refinements, or explanations tailored to the ongoing discussion. Cheetah also connects with live coding environments through a browser extension, allowing it to analyze code and logs directly from supported platforms. ... -
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Ink
A fast and flexible Markdown parser written in Swift.
Ink is a fast and flexible Markdown parsing library written in Swift that is designed to convert Markdown content into structured representations suitable for rendering or further processing. Originally developed as part of the Publish ecosystem, it focuses on performance and extensibility while maintaining a relatively simple and understandable internal architecture. The parser operates by reading Markdown input through a structured reader system that processes fragments and determines how... -
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PZEM-004T PC interface app
PC application for PZEM-004T energy meters (RS-232 or RS-485)
(Please take a look at my web-based app for PZEM devices. It has much broader abilities than this one.) PC application (Autoit script) which works with old version of PZEM-004T using RS-232 interface. Version 1.1 also supports RS-485 devices (PZEM-004T V3.0, PZEM-014/016) The program has four “displays” to show four parameters that PZEM could supply. Voltage, Current, Power and Energy. -
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sense2vec
Contextually-keyed word vectors
sense2vec (Trask et. al, 2015) is a nice twist on word2vec that lets you learn more interesting and detailed word vectors. This library is a simple Python implementation for loading, querying and training sense2vec models. For more details, check out our blog post. To explore the semantic similarities across all Reddit comments of 2015 and 2019, see the interactive demo. -
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Text Analysis Markup System (TAMS) is both a system of marking documents for qualitative analysis and a series of tools for mining information based on that syntax.
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VALL-E
PyTorch implementation of VALL-E (Zero-Shot Text-To-Speech)
We introduce a language modeling approach for text to speech synthesis (TTS). Specifically, we train a neural codec language model (called VALL-E) using discrete codes derived from an off-the-shelf neural audio codec model, and regard TTS as a conditional language modeling task rather than continuous signal regression as in previous work. During the pre-training stage, we scale up the TTS training data to 60K hours of English speech which is hundreds of times larger than existing systems.... -
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Transformers-Interpret
Model explainability that works seamlessly with Hugging Face
Transformers-Interpret is an interpretability tool for Transformer-based NLP models, providing insights into attention mechanisms and feature importance.
