Showing 46 open source projects for "hours"

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  • 1
    Label Sleuth

    Label Sleuth

    Open source no-code system for text annotation and building of text

    An open-source no-code system for text annotation and building text classifiers. No AI knowledge needed. From task definition to working model in just a few hours! While domain experts label their data, Label Sleuth automatically trains in the background-appropriate machine learning models. To avoid wasted labeling effort, Label Sleuth employs active learning techniques to guide the user in what they should be labeled next. Domain experts can quickly start labeling their data through an intuitive user interface. ...
    Downloads: 5 This Week
    Last Update:
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  • 2
    Video2X

    Video2X

    A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K

    ...You can use Video2X on Google Colab for free if you don't have a powerful GPU of your own. You can borrow a powerful GPU (Tesla K80, T4, P4, or P100) on Google's server for free for a maximum of 12 hours per session. Please use the free resource fairly and do not create sessions back-to-back and run upscaling 24/7. This might result in you getting banned. You can get Colab Pro/Pro+ if you'd like to use better GPUs and get longer runtimes. Usage instructions are embedded in the Colab Notebook.
    Downloads: 542 This Week
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  • 3
    OpenCompass

    OpenCompass

    OpenCompass is an LLM evaluation platform

    ...Pre-support for 20+ HuggingFace and API models, a model evaluation scheme of 50+ datasets with about 300,000 questions, comprehensively evaluating the capabilities of the models in five dimensions. One line command to implement task division and distributed evaluation, completing the full evaluation of billion-scale models in just a few hours. Support for zero-shot, few-shot, and chain-of-thought evaluations, combined with standard or dialogue type prompt templates, to easily stimulate the maximum performance of various models.
    Downloads: 2 This Week
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  • 4
    atpbar

    atpbar

    Progress bars for threading and multiprocessing tasks on terminal

    Progress bars for threading and multiprocessing tasks on the terminal and Jupyter Notebook. atpbar can display multiple progress bars simultaneously growing to show the progresses of iterations of loops in threading or multiprocessing tasks. atpbar can display progress bars on the terminal and Jupyter Notebook. atpbar can be used with Mantichora. atpbar started its development in 2015 as part of Alphatwirl. atpbar prevented physicists from terminating their running analysis codes, which would take many hours to complete, by showing progress bars indicating their codes were actually running. The progress bars have saved the physicists countless hours in total. atpbar had been the sub-package progress of alphatwirl until it became an independent package, with the name atpbar, in February 2019.
    Downloads: 0 This Week
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  • 5
    ChatTTS

    ChatTTS

    A generative speech model for daily dialogue

    ChatTTS is an open-source conversational text-to-speech model optimized for dialogue, developed by 2Noise. Trained on 100,000+ hours of English and Chinese conversation data, it excels at generating expressive prosody—pauses, interjections, laughter—for more natural-sounding speech synthesis in assistant and chatbot applications.
    Downloads: 6 This Week
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  • 6
    MetaVoice-1B

    MetaVoice-1B

    Foundational model for human-like, expressive TTS

    MetaVoice — in the form of its source repository “metavoice-src” — is a large-scale text-to-speech (TTS) model. Specifically, the base model (MetaVoice-1B) uses around 1.2 billion parameters and has been trained on a massive dataset — reportedly around 100,000 hours of speech data. The goal is to provide human-like, expressive, and flexible TTS: able to generate natural-sounding speech that can handle diverse inputs and likely generalize over voice styles, intonation, prosody, and perhaps multiple languages or accents. With that scale and dataset volume, MetaVoice aims to push the boundary of what open-source TTS models can achieve: high fidelity, natural prosody, and robustness even for edge cases. ...
    Downloads: 1 This Week
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  • 7
    TimeTracker

    TimeTracker

    Open-source and free to self-host

    TimeTracker by DRYTRIX is a comprehensive self-hosted time tracking and project management application that helps individuals, teams, and small businesses take control of their productivity and billing. Built on a modern web stack (Python/Flask backend with a responsive frontend), TimeTracker enables users to track hours, manage projects and clients, visualize data with interactive charts, and even generate professional invoices directly from tracked time. It embraces privacy and flexibility by running entirely on your own servers, ensuring sensitive business data stays under your control, and supports real-time timer persistence via WebSockets so timers continue even if the browser is closed. ...
    Downloads: 17 This Week
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  • 8
    Chatterbox

    Chatterbox

    SoTA open-source TTS

    Chatterbox is Resemble AI's first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs and is consistently preferred in side-by-side evaluations. Whether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our...
    Downloads: 3 This Week
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  • 9
    HY-Motion 1.0

    HY-Motion 1.0

    HY-Motion model for 3D character animation generation

    ...Built on advanced deep learning architectures that combine Diffusion Transformer (DiT) and flow matching techniques, HY-Motion scales these approaches to the billion-parameter level, resulting in strong instruction-following capabilities and richer motion outputs compared to existing open-source models. The training strategy for the HY-Motion series includes extensive pre-training on thousands of hours of varied motion data, fine-tuning on curated high-quality datasets, and reinforcement learning with human feedback, which improves both the plausibility and adaptability of generated motion sequences.
    Downloads: 6 This Week
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  • 10
    Audiblez

    Audiblez

    Generate audiobooks from e-books

    ...It focuses on making audiobook creation easy and fast: from a single command, the tool splits an e-book into chapters, synthesizes audio for each section, and then merges the results into a structured audiobook with chapter-based WAV files and a final .m4b container. The Kokoro-82M model it uses is compact (82M parameters) yet natural sounding, trained on under 100 hours of audio, and supports multiple languages, including English (US/UK), Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese. Audiblez can run entirely from the command line via a PyPI package or through a simple cross-platform GUI built on wxPython, giving both advanced users and non-technical users an accessible workflow.
    Downloads: 12 This Week
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  • 11
    MiniMind

    MiniMind

    Train a 26M-parameter GPT from scratch in just 2h

    minimind is a framework that enables users to train a 26-million-parameter GPT (Generative Pre-trained Transformer) model from scratch in approximately two hours. It provides a streamlined process for data preparation, model training, and evaluation, making it accessible for individuals and organizations to develop their own language models without extensive computational resources.
    Downloads: 0 This Week
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  • 12
    AutoClip

    AutoClip

    AI-powered video clipping and highlight generation

    AutoClip is an open-source, AI-powered video processing system designed to automate the extraction of “highlight” segments from full-length videos — ideal for creators who want to generate bite-sized clips, compilations, or highlight reels without manually sifting through hours of footage. The system supports downloading videos from major platforms (e.g. YouTube, Bilibili), or accepting local uploads, and then applies AI analysis to identify segments worth clipping based on content (e.g. high energy moments, speech, or other heuristics). Once highlights are identified, AutoClip can automatically cut those segments and optionally assemble them into a compilation, thus greatly reducing manual video editing effort. ...
    Downloads: 15 This Week
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  • 13
    Datasette

    Datasette

    An open source multi-tool for exploring and publishing data

    ...Try a demo and explore 33,000 power plants around the world, then take a look at some other examples of Datasette in action. Then read how to get started with Datasette, subscribe to the monthly-ish newsletter and consider signing up for office hours for an in-person conversation about the project.
    Downloads: 4 This Week
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  • 14
    nanochat

    nanochat

    The best ChatGPT that $100 can buy

    ...The repository stitches together every stage of the lifecycle: tokenizer training, pretraining a Transformer on a large web corpus, mid-training on dialogue and multiple-choice tasks, supervised fine-tuning, optional reinforcement learning for alignment, and finally efficient inference with caching. Its north star is approachability and speed: you can boot a fresh GPU box and drive the whole pipeline via a single script, producing a usable chat model in hours and a clear markdown report of what happened. The code is written to be read—concise training loops, transparent configs, and minimal wrappers—so you can audit each step, tweak it, and rerun without getting lost in framework indirection.
    Downloads: 2 This Week
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  • 15
    MODMAIL

    MODMAIL

    A feature rich discord Modmail bot

    ...All further DM messages will automatically relay to that channel; any available staff can respond within the channel. Schedule tasks in human time, e.g. ?close in 2 hours silently. Editing and deleting messages are synced. Support for the diverse range of message contents (multiple images, files). Paginated commands interfaces via reactions. When you close a thread, Modmail will generate a log link and post it to your log channel.
    Downloads: 2 This Week
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  • 16
    Qwen-2.5-VL

    Qwen-2.5-VL

    Qwen2.5-VL is the multimodal large language model series

    Qwen2.5 is a series of large language models developed by the Qwen team at Alibaba Cloud, designed to enhance natural language understanding and generation across multiple languages. The models are available in various sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B parameters, catering to diverse computational requirements. Trained on a comprehensive dataset of up to 18 trillion tokens, Qwen2.5 models exhibit significant improvements in instruction following, long-text generation...
    Downloads: 9 This Week
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  • 17
    NitroGen

    NitroGen

    A Foundation Model for Generalist Gaming Agents

    NitroGen is a foundation model for generalist gaming agents developed under the MineDojo initiative, aimed at training a vision­-action AI that can play and interact with a wide variety of games by taking pixel inputs and predicting gamepad actions. As an open research model, NitroGen is trained on extensive gameplay data spanning thousands of hours and hundreds of games to instill broad, generalizable gaming competency rather than skill at a single title. This approach enables the model to control agents in different game genres and contexts, performing tasks that range from complex exploration and combat to fine-grained control in platformers, demonstrating adaptability across unseen environments. ...
    Downloads: 0 This Week
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  • 18
    AI YouTube Shorts Generator

    AI YouTube Shorts Generator

    A python tool that uses GPT-4, FFmpeg, and OpenCV

    ...The tool streamlines multiple steps of the tedious short-form video workflow: highlight detection, clipping, subtitle generation, cropping to vertical 9:16 format, and final rendering — reducing hours of editing to a mostly automated pipeline. Because it supports both local and online video sources, it's flexible whether you're working with your own recorded content or repurposing existing longer-form videos.
    Downloads: 5 This Week
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  • 19
    Cloud Custodian

    Cloud Custodian

    Rules engine for cloud security, cost optimization, and governance

    ...Custodian supports managing AWS, Azure, and GCP public cloud environments. Besides just providing reports of issues, Custodian can actively enforce the security policies you define. Setup off-hours to save you money, by turning-off resources when they're not being used. Garbage collects unused resources by looking into utilization metrics. Custodian can be run locally, on an instance, or Serverless in AWS Lambda. Cloud Custodian is open source and free for everyone to use. Use Custodian to build complex workflows or simple queries, millions of policies can be constructed using our easy-to-read DSL.
    Downloads: 3 This Week
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  • 20
    Blueprint MCP

    Blueprint MCP

    Diagram generation for understanding codebases and system architecture

    ...Blueprint-MCP also supports templated server configurations so game environments can be versioned, replicated, and deployed consistently across regions or cloud providers. The control plane includes hooks for event-driven automation, allowing rules like “scale up at peak hours” or “restart unhealthy nodes automatically” to be codified and managed without manual intervention. Security and access control are built in so administrators can assign roles, manage secrets, and enforce network policies across cluster resources.
    Downloads: 0 This Week
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  • 21
    Hello Python

    Hello Python

    Comprehensive tutorial repository aimed at teaching the Python program

    Hello-Python is a comprehensive tutorial repository aimed at teaching the Python programming language from scratch for beginners. It includes over 100 classes and about 44 hours of video instruction, combined with code samples, projects, and a chat community for support. The material covers the fundamentals—variables, data types, loops, functions—as well as intermediate topics like date handling, list comprehensions, file IO, regular expressions, modules, and packages. The course is designed to be accessible: no prior programming experience required, and the resources are freely available. ...
    Downloads: 0 This Week
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  • 22
    Atheris

    Atheris

    A Coverage-Guided, Native Python Fuzzer

    ...It supports structured input strategies and custom mutators, which is especially helpful for text and data formats common in Python workloads. In practice, Atheris compresses weeks of edge-case brainstorming into hours of automated exploration with actionable, minimized reproductions.
    Downloads: 0 This Week
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  • 23
    Vidi2

    Vidi2

    Large Multimodal Models for Video Understanding and Editing

    ...Vidi targets applications like intelligent video editing, automated video search, content analysis, and editing assistance, enabling users to efficiently locate relevant segments and objects in hours-long footage. The system is built with open-source release in mind, giving developers access to model code, inference scripts, and evaluation pipelines so they can reproduce research results or integrate Vidi into their own video-processing workflows.
    Downloads: 1 This Week
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  • 24
    WavTokenizer

    WavTokenizer

    SOTA discrete acoustic codec models with 40/75 tokens per second

    WavTokenizer is a state-of-the-art discrete acoustic codec designed specifically for audio language modeling, capable of compressing 24 kHz audio into just 40 or 75 tokens per second while preserving high perceptual quality. It is built to represent speech, music, and general audio with extremely low bitrate, making it ideal as a front-end for large audio language models like GPT-4o and similar architectures. The model uses a single-quantizer design together with temporal compression to...
    Downloads: 0 This Week
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  • 25
    Surya

    Surya

    Implementation of the Surya Foundation Model for Heliophysics

    Surya is an open‑source, AI‑based foundation model for heliophysics developed collaboratively by NASA (via the IMPACT AI team) and IBM. Named after the Sanskrit word for “sun,” Surya is trained on nine years of high‑resolution solar imagery from NASA’s Solar Dynamics Observatory (SDO). It is designed to forecast solar phenomena—such as flares, solar wind, irradiance, and active region behavior—by predicting future solar images with a sophisticated long–short vision transformer architecture,...
    Downloads: 0 This Week
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