Showing 55 open source projects for "command line developer tools"

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  • 1
    Matcha-TTS

    Matcha-TTS

    A fast TTS architecture with conditional flow matching

    ...The model is fully probabilistic, so it can generate diverse realizations of the same text while still sounding stable and intelligible. The repository provides an end-to-end TTS pipeline: a PyTorch/Lightning training stack, configuration files, pre-trained checkpoints, a command-line interface, and a Gradio app for interactive testing. Users can train on standard datasets like LJSpeech or plug in their own corpora, with helper tools for computing dataset statistics, extracting phoneme durations, and running multi-GPU training.
    Downloads: 16 This Week
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  • 2
    Qodo Cover

    Qodo Cover

    AI tool that generates tests to improve code coverage quickly

    Qodo Cover is an open source developer tool designed to automate the creation of unit tests using generative AI, helping teams improve code coverage with minimal manual effort. It operates as a command-line interface and can also be integrated into continuous integration workflows, making it adaptable to different development environments. It analyzes an existing codebase, identifies gaps in test coverage, and generates new tests that target uncovered or weakly tested areas. ...
    Downloads: 0 This Week
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  • 3
    Mini Agent

    Mini Agent

    A minimal yet professional single agent demo project

    Mini-Agent is a minimal yet production-minded demo project that shows how to build a serious command-line AI agent around the MiniMax-M2 model. It is designed both as a reference implementation and as a usable agent, demonstrating a full execution loop that includes planning, tool calls, and iterative refinement. The project exposes an Anthropic-compatible API interface and fully supports interleaved thinking, letting the agent alternate between reasoning steps and tool invocations during long, complex tasks. ...
    Downloads: 0 This Week
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  • 4
    OpenVINO Training Extensions

    OpenVINO Training Extensions

    Trainable models and NN optimization tools

    OpenVINO™ Training Extensions provide a convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference. When ote_cli is installed in the virtual environment, you can use the ote command line interface to perform various actions for templates related to the chosen task type, such as running, training, evaluating, exporting, etc. ote train trains a model (a particular model template) on a dataset and saves results in two files. ote...
    Downloads: 6 This Week
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  • 5
    Heretic

    Heretic

    Fully automatic censorship removal for language models

    Heretic is an open-source Python tool that automatically removes the built-in censorship or “safety alignment” from transformer-based language models so they respond to a broader range of prompts with fewer refusals. It works by applying directional ablation techniques and a parameter optimization strategy to adjust internal model behaviors without expensive post-training or altering the core capabilities. Designed for researchers and advanced users, Heretic makes it possible to study and...
    Downloads: 1 This Week
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  • 6
    local-llm

    local-llm

    Run LLMs locally on Cloud Workstations

    ...It focuses on making generative AI development more accessible by leveraging quantized models and CPU-based execution, eliminating the dependency on expensive GPU infrastructure. The repository includes tools, Docker configurations, and command-line utilities that simplify the process of downloading, running, and interacting with language models directly on local or cloud-based workstations. This approach improves data privacy and control, as all inference can be performed locally without sending sensitive information to external APIs. ...
    Downloads: 1 This Week
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  • 7
    AutoViz

    AutoViz

    Automatically Visualize any dataset, any size

    AutoViz is a Python data visualization library designed to automate exploratory data analysis by generating multiple visualizations with minimal code. The primary goal of the project is to help data scientists and analysts quickly understand patterns, relationships, and anomalies within datasets without manually writing complex plotting code. With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the...
    Downloads: 0 This Week
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  • 8
    LangChain-ChatGLM-Webui

    LangChain-ChatGLM-Webui

    Automatic question answering for local knowledge bases based on LLM

    ...It supports retrieval-augmented generation workflows that enable the system to answer questions based on local documents or knowledge bases. By leveraging the LangChain framework, the platform allows developers to integrate tools such as vector databases, document loaders, and prompt chains into the chatbot workflow. The web interface simplifies the process of running and experimenting with ChatGLM models locally or on servers without requiring extensive command-line configuration.
    Downloads: 0 This Week
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  • 9
    Xianyu Intelligent Monitor Bot

    Xianyu Intelligent Monitor Bot

    AI tool for real-time monitoring and analysis of Goofish listings

    ...It uses Playwright to simulate real user interactions with the marketplace, allowing the system to retrieve product data and track updates in near real time. ai-goofish-monitor can run multiple monitoring tasks simultaneously, each configured with specific keywords, price ranges, and filtering conditions. A built-in web management interface allows users to create tasks, review results, and manage monitoring rules without relying solely on command line tools. AI models analyze product descriptions, images, and seller information to determine whether a listing meets defined requirements and should be recommended to the user.
    Downloads: 7 This Week
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  • 10
    OmniVoice

    OmniVoice

    High-Quality Voice Cloning TTS for 600+ Languages

    The OmniVoice project is a cutting-edge multilingual text-to-speech system designed to generate high-quality speech across more than 600 languages. Built on a diffusion language model-style architecture, it combines scalability with strong performance, enabling both natural-sounding voice synthesis and efficient inference speeds. One of its most notable capabilities is zero-shot voice cloning, allowing users to replicate a speaker’s voice using only a short reference audio clip. In addition,...
    Downloads: 0 This Week
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  • 11
    Trae Agent

    Trae Agent

    LLM-based agent for general purpose software engineering tasks

    Trae Agent is an open-source, LLM-based agent system also developed by ByteDance, focused primarily on automating software engineering workflows. It provides a command-line interface (CLI) that accepts natural-language instructions (e.g. “refactor this module,” “write a unit test,” “generate a REST API skeleton”), and then orchestrates tool-based workflows — such as file editing, shell/batch commands, code generation, code formatting or refactoring — to carry out complex engineering tasks....
    Downloads: 0 This Week
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  • 12
    files-to-prompt

    files-to-prompt

    Concatenate a directory full of files into a single prompt

    files-to-prompt is a Python command-line tool that takes one or more files or entire directories and concatenates their contents into a single, LLM-friendly prompt. It walks the directory tree, outputting each file preceded by its relative path and a separator, so a model can understand which content came from where. The tool is aimed at workflows where you want to ask an LLM questions about a whole codebase, documentation set, or notes folder without manually copying files together. ...
    Downloads: 0 This Week
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  • 13
    KoboldCpp

    KoboldCpp

    Run GGUF models easily with a UI or API. One File. Zero Install.

    KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features.
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    Downloads: 459 This Week
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  • 14
    Audio Webui

    Audio Webui

    A webui for different audio related Neural Networks

    ...It is designed as an “all-in-one” environment where users can experiment with text-to-speech, voice cloning, generative music, and other neural audio models without writing boilerplate code. The project supports multiple back-end models and toolchains (such as Bark, RVC, AudioLDM, Audiocraft, and other text-to-audio or voice-cloning tools), exposing them through a consistent UI for inference and experimentation. Installation is streamlined through automatic installers and platform-specific scripts that create a virtual environment, install dependencies, and launch the web app with minimal manual setup. For more advanced users, it exposes a rich set of command-line flags to control behavior such as skipping installation, disabling venv, changing model cache directories, sharing Gradio links, setting passwords, and specifying themes or ports.
    Downloads: 0 This Week
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  • 15
    GPT ChatterBot - experimental 23

    GPT ChatterBot - experimental 23

    GPT ChatterBot - experimental 23 (A ChatGPT app for PC )

    'GPT_ChatterBot' is a console (command-prompt) desktop application developed using python 3.6.8 and other add-on libaries. The experimental application uses api from OpenAI to create ChatGPT interaction on a PC Apps. Compatible only for windows OS.
    Downloads: 0 This Week
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  • 16
    Bot on Anything

    Bot on Anything

    Large model-based chatbot builder that can quickly integrate AI models

    ...At its heart, the project abstracts away the glue logic between AI model APIs and disparate application “channels,” enabling the same bot logic to run in Slack, Telegram, Gmail, enterprise tools, web UIs, or command-line terminals. Configuration is handled simply through a central JSON file where you define which model and which application channel you want to glue together, so developers can create sophisticated AI assistants without rewriting integration code from scratch. The architecture emphasizes reusability and extensibility, allowing the addition of new model backends or new channels with relative ease. ...
    Downloads: 5 This Week
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  • 17
    Riffusion

    Riffusion

    Real-time music generation using stable diffusion techniques AI

    ...Riffusion (hobby) serves as the core implementation for audio and image processing, providing essential building blocks for generating music from text prompts. It includes both developer-oriented tools and user-facing components such as a command-line interface and an interactive Streamlit application for experimentation. Additionally, it can run as a Flask server to expose model inference through an API, enabling integration with other applications or services.
    Downloads: 2 This Week
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  • 18
    AI Chatbots based on GPT Architecture

    AI Chatbots based on GPT Architecture

    Training & Implementation of chatbots leveraging GPT-like architecture

    Training & Implementation of chatbots leveraging GPT-like architecture with the aitextgen package to enable dynamic conversations. It sure seems like there are a lot of text-generation chatbots out there, but it's hard to find a python package or model that is easy to tune around a simple text file of message data. This repo is a simple attempt to help solve that problem. ai-msgbot covers the practical use case of building a chatbot that sounds like you (or some dataset/persona you choose)...
    Downloads: 0 This Week
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  • 19
    WaveRNN

    WaveRNN

    WaveRNN Vocoder + TTS

    WaveRNN is a PyTorch implementation of DeepMind’s WaveRNN vocoder, bundled with a Tacotron-style TTS front end to form a complete text-to-speech stack. As a vocoder, WaveRNN models raw audio with a compact recurrent neural network that can generate high-quality waveforms more efficiently than many traditional autoregressive models. The repository includes scripts and code for preprocessing datasets such as LJSpeech, training Tacotron to produce mel spectrograms, training WaveRNN on those...
    Downloads: 0 This Week
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  • 20
    Deep Daze

    Deep Daze

    Simple command line tool for text to image generation

    Simple command-line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). In true deep learning fashion, more layers will yield better results. Default is at 16, but can be increased to 32 depending on your resources. Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and...
    Downloads: 0 This Week
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  • 21
    Big Sleep

    Big Sleep

    A simple command line tool for text to image generation

    A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU. You will be able to have the GAN dream-up images using natural language with a one-line command in the terminal. User-made notebook with bug fixes and added features, like google drive integration. Images will be saved to...
    Downloads: 0 This Week
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  • 22
    Hugging Face Transformer

    Hugging Face Transformer

    CPU/GPU inference server for Hugging Face transformer models

    Optimize and deploy in production Hugging Face Transformer models in a single command line. At Lefebvre Dalloz we run in-production semantic search engines in the legal domain, in the non-marketing language it's a re-ranker, and we based ours on Transformer. In that setup, latency is key to providing a good user experience, and relevancy inference is done online for hundreds of snippets per user query. Most tutorials on Transformer deployment in production are built over Pytorch and FastAPI. ...
    Downloads: 1 This Week
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  • 23

    MITRE Annotation Toolkit

    A toolkit for managing and manipulating text annotations

    The MITRE Annotation Toolkit (MAT) is a suite of tools which can be used for automated and human tagging of annotations. Annotation is a process, used mostly by researchers in natural language processing, of enhancing documents with information about the various phrase types the documents contain. MAT supports both UI interaction and command-line interaction, and provides various levels of control over the overall annotation process.
    Downloads: 4 This Week
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  • 24
    Neural Networks Collection

    Neural Networks Collection

    Neural Networks Collection

    This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people.
    Downloads: 0 This Week
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  • 25
    GluonNLP

    GluonNLP

    NLP made easy

    GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training embeddings on custom datasets. ...
    Downloads: 0 This Week
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