Search Results for "run sackboy run" - Page 2

Showing 1311 open source projects for "run sackboy run"

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  • 1
    SkyPilot

    SkyPilot

    SkyPilot: Run AI and batch jobs on any infra

    SkyPilot is a framework for running AI and batch workloads on any infra, offering unified execution, high cost savings, and high GPU availability. Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
    Downloads: 0 This Week
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  • 2
    dstack

    dstack

    Open-source tool designed to enhance the efficiency of workloads

    dstack is an open-source tool designed to enhance the efficiency of running ML workloads in any cloud (AWS, GCP, Azure, Lambda, etc). It streamlines development and deployment, reduces cloud costs, and frees users from vendor lock-in.
    Downloads: 0 This Week
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  • 3
    Android Emulator Container Scripts

    Android Emulator Container Scripts

    Minimal scripts to run the emulator in a container for various systems

    ...The project focuses on reproducibility and scale: you define which system image to boot, how to persist or reset data, and how many instances to run, then schedule them like any other workload. GPU acceleration, audio, and sensors can be enabled depending on your host and cluster capabilities, while fallbacks like SwiftShader keep things usable when no GPU is available.
    Downloads: 5 This Week
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  • 4
    Applio

    Applio

    A simple, high-quality voice conversion tool focused on ease of use

    ...It focuses strongly on ease of use: installation scripts for Windows, Linux, and macOS set up dependencies and then launch a browser-based Gradio interface. Within that interface, users can train and run voice conversion models for tasks like singing conversion, speech-to-speech transformation, and voice cloning. The project is structured to be flexible through plugins and configurations so users can extend functionality without touching the core code. Applio is considered stable and mature; ongoing development is now centered on security patches, dependency maintenance, and occasional improvements, which makes it attractive for production or repeatable workflows. ...
    Downloads: 77 This Week
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  • 5
    GAM

    GAM

    Command line management for Google Workspace

    ...G Suite Legacy Free Edition has limited API support and not all GAM commands work. While many GAM functions do not require domain administrative privileges, the setup does. Download GAM, then run the MSI installer. By default, GAM will install to C:\GAM but you can change this to wherever you prefer. GAM will also be added to your path so you can run GAM even if you're not in the GAM folder. At the end of the MSI install process, GAM will open a command prompt to allow you to setup a project and authorize GAM for admin management and user data/config access.
    Downloads: 46 This Week
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  • 6
    Open Interpreter

    Open Interpreter

    A natural language interface for computers

    Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. Runs locally or via configured remote LLM servers/inference backends, giving flexibility to use models you trust or have locally. ...
    Downloads: 29 This Week
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  • 7
    Database-backed Periodic Tasks

    Database-backed Periodic Tasks

    Celery Periodic Tasks backed by the Django ORM

    This extension enables you to store the periodic task schedule in the database. The periodic tasks can be managed from the Django Admin interface, where you can create, edit and delete periodic tasks and how often they should run. Usage and installation instructions for this extension are available from the Celery documentation. If you change the Django TIME_ZONE setting your periodic task schedule will still be based on the old timezone. To create a periodic task executing at an interval you must first create the interval object. If you have multiple periodic tasks executing every 10 seconds, then they should all point to the same schedule object.
    Downloads: 1 This Week
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  • 8
    Django Cachalot

    Django Cachalot

    No effort, no worry, maximum performance

    ...Cachalot officially supports Python 3.7-3.10 and Django 2.2, 3.2, and 4.0-4.1 with the databases PostgreSQL, SQLite, and MySQL. Note: an upper limit on Django version is set for your safety. Please do not ignore it. To start developing, install the requirements and run the tests via tox. Currently, benchmarks are supported on Linux and Mac/Darwin. You will need a database called "cachalot" on MySQL and PostgreSQL. Additionally, on PostgreSQL, you will need to create a role called "cachalot." You can also run the benchmark, and it'll raise errors with specific instructions for how to fix it. Use cachalot for cold or modified <50 times per minutes (Most people should stick with only cachalot since you most likely won't need to scale to the point of needing cache-machine added to the bowl).
    Downloads: 4 This Week
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  • 9
    Pathway AI Pipelines

    Pathway AI Pipelines

    Ready-to-run cloud templates for RAG

    ...The templates include built-in indexing, vector search, hybrid search, and caching capabilities that remove the need to assemble separate infrastructure components. Developers can run the applications locally or deploy them to cloud platforms using Docker with minimal setup. Overall, llm-app functions as a practical accelerator for teams building real-time, production-ready AI knowledge systems.
    Downloads: 2 This Week
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  • 10
    Chitu

    Chitu

    High-performance inference framework for large language models

    Chitu is a high-performance inference engine designed to deploy and run large language models efficiently in production environments. The framework focuses on improving efficiency, flexibility, and scalability for organizations that need to run LLM inference workloads across different hardware platforms. It supports heterogeneous computing environments, including CPUs, GPUs, and various specialized AI accelerators, allowing models to run across a wide range of infrastructure configurations. ...
    Downloads: 3 This Week
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  • 11
    Tactical RMM

    Tactical RMM

    A remote monitoring & management tool, built with Django, Vue and Go

    ...Event log viewer. Services management. Windows patch management. Automated checks with email/SMS alerting (cpu, disk, memory, services, scripts, event logs). Automated task runner (run scripts on a schedule). Remote software installation via chocolatey. Software and hardware inventory.
    Downloads: 15 This Week
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  • 12
    Otter-Grader

    Otter-Grader

    A Python and R autograding solution

    ...Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. Otter is designed to grade Python scripts and Jupyter Notebooks, and is compatible with a few different LMSs, including Canvas and Gradescope.
    Downloads: 7 This Week
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  • 13
    Dagster

    Dagster

    An orchestration platform for the development, production

    Dagster is an orchestration platform for the development, production, and observation of data assets. Dagster as a productivity platform: With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early. Dagster as a robust orchestration engine: Put your pipelines into production with a robust...
    Downloads: 7 This Week
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  • 14
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    BertViz is an interactive tool for visualizing attention in Transformer language models such as BERT, GPT2, or T5. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion Jones, providing multiple views that each offer a unique lens into the attention mechanism. The head view visualizes attention for one or more attention heads in the same layer.
    Downloads: 1 This Week
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  • 15
    Mage.ai

    Mage.ai

    Build, run, and manage data pipelines for integrating data

    ...The modern replacement for Airflow. Effortlessly integrate and synchronize data from 3rd party sources. Build real-time and batch pipelines to transform data using Python, SQL, and R. Run, monitor, and orchestrate thousands of pipelines without losing sleep. Have you met anyone who said they loved developing in Airflow? That’s why we designed an easy developer experience that you’ll enjoy. Each step in your pipeline is a standalone file containing modular code that’s reusable and testable with data validations. No more DAGs with spaghetti code. ...
    Downloads: 4 This Week
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  • 16
    pytest

    pytest

    Python testing tool for writing better programs

    ...pytest features auto-discovery of test modules and functions; modular fixtures made for small or parametrized long-lived test resources; and a rich plugin architecture of more than 850 external plugins. pytest can immediately run unittest and nose tests suites as well.
    Downloads: 13 This Week
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  • 17
    Lama Cleaner

    Lama Cleaner

    Image inpainting tool powered by SOTA AI Model

    ...Completely free and open-source, fully self-hosted, supports CPU & GPU. Windows 1-Click Installer, classical image inpainting algorithm powered by cv2. Multiple SOTA AI models, and various inpainting strategies. Run as a desktop application. Interactive Segmentation on any object.
    Downloads: 38 This Week
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  • 18
    Sacred

    Sacred

    Sacred is a tool to help you configure, andorganize IDSIA experiments

    ...You can access all parameters of your configuration from every function. They are automatically injected by name. You get a powerful command-line interface for each experiment that you can use to change parameters and run different variants. Observers that log all kinds of information about your experiment, its dependencies, the configuration you used, the machine it is run on, and of course the result. These can be saved to a MongoDB, for easy access later.
    Downloads: 0 This Week
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  • 19
    voila

    voila

    Voilà turns Jupyter notebooks into standalone web applications

    ...Unlike the usual HTML-converted notebooks, each user connecting to the Voilà tornado application gets a dedicated Jupyter kernel which can execute the callbacks to changes in Jupyter interactive widgets. To render the bqplot example notebook as a standalone app, run voila bqplot.ipynb. To serve a directory of jupyter notebooks, run voila with no argument.
    Downloads: 8 This Week
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  • 20
    Masonite

    Masonite

    The Modern And Developer Centric Python Web Framework

    ...Masonite is perfect for beginners getting their first web app deployed or advanced developers and businesses that need to reach for the full fleet of features available. Mail support for sending emails quickly. Queue support to speed your application up by sending jobs to run on a queue or asynchronously. Notifications for sending notifications to your users simply and effectively. Task scheduling to run your jobs on a schedule (like everyday at midnight) so you can set and forget your tasks. Events you can listen for to execute listeners that perform your tasks when certain events happen in your app. ...
    Downloads: 5 This Week
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  • 21
    PyTorch Lightning

    PyTorch Lightning

    The lightweight PyTorch wrapper for high-performance AI research

    ...When you need to scale up things like BERT and self-supervised learning, Lightning responds accordingly by automatically exporting to ONNX or TorchScript. PyTorch Lightning can easily be applied for any use case. With just a quick refactor you can run your code on any hardware, run distributed training, perform logging, metrics, visualization and so much more!
    Downloads: 3 This Week
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  • 22
    Mistral Inference

    Mistral Inference

    Official inference library for Mistral models

    Open and portable generative AI for devs and businesses. We release open-weight models for everyone to customize and deploy where they want it. Our super-efficient model Mistral Nemo is available under Apache 2.0, while Mistral Large 2 is available through both a free non-commercial license, and a commercial license.
    Downloads: 3 This Week
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  • 23
    Conda

    Conda

    OS-agnostic, system-level binary package manager

    ...If you need a package that requires a different version of Python, you do not need to switch to a different environment manager because conda is also an environment manager. With just a few commands, you can set up a totally separate environment to run that different version of Python, while continuing to run your usual version of Python in your normal environment.
    Downloads: 27 This Week
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  • 24
    Jupyter Docker Stacks

    Jupyter Docker Stacks

    Ready-to-run Docker images containing Jupyter applications

    Jupyter Docker Stacks provides a curated set of ready-to-run Docker container images that bundle Jupyter applications with popular data science and computing tools, enabling users to quickly start working in a reproducible environment. These stacks support a range of use cases, from lightweight base notebook images to full featured environments that include scientific computing libraries, machine learning tools, and IDE-like notebook interfaces, all within Docker containers that run consistently across machines. ...
    Downloads: 1 This Week
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  • 25
    AWS Neuron

    AWS Neuron

    Powering Amazon custom machine learning chips

    AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. ...
    Downloads: 0 This Week
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