Search Results for "linux new distribution"
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Showing 1325 open source projects for "linux new distribution"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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new-pac
Scientific Internet access
This repository aggregates tools, guides, and configuration files aimed at enabling network access in restrictive environments across desktop and mobile platforms. It collects client applications, one-click browser bundles, configuration examples, and references for widely used proxy and tunneling technologies. The emphasis is on approachability: instructions, packaged builds, and links are organized so non-experts can find a workable setup for their device. Because endpoint reliability and... -
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GT New Horizons Mod Pack
New Modpack with Gregtech, Thaumcraft and Witchery
You are looking at a big progressive kitchensink pack for Minecraft 1.7.10 balanced around the mod GregTech. Over 9 years of development (and still going) have formed a balance and refinement that only a handful of packs can keep up with. We are talking about thousands of recipe tweaks, a massive questbook with over 3000 quests, unique world generation, custom mods coded for the pack, custom Thaumonomicon pages, and many more. The main intentions of the pack are a long-lasting experience and... -
3
Denoising Diffusion Probabilistic Model
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to generative modeling that may have the potential to rival GANs. It uses denoising score matching to estimate the gradient of the data distribution, followed by Langevin sampling to sample from the true distribution. If you simply want to pass in a folder name and the desired image dimensions, you can use the Trainer class to easily train a model. -
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Pyodide
Pyodide is a Python distribution for the browser and Node.js
Pyodide brings the Python runtime to the browser by compiling Python and its scientific libraries to WebAssembly. It allows developers to run Python code directly in web browsers without a server, supporting packages like NumPy, Pandas, and Matplotlib. Pyodide opens up new possibilities for interactive data analysis, scientific computing, and educational tools in web environments, all while integrating seamlessly with JavaScript. -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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nmon for Linux
Linux performance monitoring on-screen or to CSV file
nmon is short for Nigel's Performance Monitor It either shows you the stats on-screen updating once a second or saves the data to a CSV file for later analysis and graphing. For details see the homepage ==> http://nmon.sourceforge.net Please use the latest version. The new version "njmon" outputs JSON format that a lot of tools use these days. It integrates well with saving data directly to InfluxDB and graphing with Grafana. -
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Amulet Map Editor
A new Minecraft world editor and converter
The new age Minecraft world editor and converter that supports every version since Java 1.12 and Bedrock 1.7. Amulet is a Minecraft world editor built from the ground up with the lessons learnt from previous editors in mind. The program works natively with the block state format introduced in 1.13 which enables editing of all world formats. Amulet is built on top of a world converter that converts all world data into a custom superset format. This means that all worlds can be modified in the... -
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MoneyPrinterTurbo
Generate short videos with one click using AI LLM
MoneyPrinterTurbo is an AI-driven tool that enables users to generate high-definition short videos with minimal input. By providing a topic or keyword, the system automatically creates video scripts, sources relevant media assets, adds subtitles, and incorporates background music, resulting in a polished video ready for distribution. -
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yt-dlp
A youtube-dl fork with additional features and fixes
yt-dlp is a youtube-dl fork based on the now inactive youtube-dlc. The main focus of this project is adding new features and patches while also keeping up to date with the original project -
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MetaCLIP
ICLR2024 Spotlight: curation/training code, metadata, distribution
MetaCLIP is a research codebase that extends the CLIP framework into a meta-learning / continual learning regime, aiming to adapt CLIP-style models to new tasks or domains efficiently. The goal is to preserve CLIP’s strong zero-shot transfer capability while enabling fast adaptation to domain shifts or novel class sets with minimal data and without catastrophic forgetting. The repository provides training logic, adaptation strategies (e.g. prompt tuning, adapter modules), and evaluation... -
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OPAL
Policy and data administration, distribution, and real-time updates
OPAL is an open-source administration layer for keeping authorization policies and authorization data synchronized in real time. It works with policy engines such as OPA and Cedar so applications can make decisions using current policy and data without constantly rebuilding custom sync logic. The project aggregates policy and data from external sources, watches for changes, and distributes updates to connected policy agents. It is built for cloud-native and microservice environments where... -
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pomegranate
Fast, flexible and easy to use probabilistic modelling in Python
pomegranate is a library for probabilistic modeling defined by its modular implementation and treatment of all models as the probability distributions they are. The modular implementation allows one to easily drop normal distributions into a mixture model to create a Gaussian mixture model just as easily as dropping a gamma and a Poisson distribution into a mixture model to create a heterogeneous mixture. But that's not all! Because each model is treated as a probability distribution,... -
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brython
Implementation of Python 3 running in the browser
Brython (Browser Python) is an implementation of Python 3 running in the browser, with an interface to the DOM elements and events. Brython supports the syntax of Python 3, including comprehensions, generators, metaclasses, imports, etc. and many modules of the CPython distribution. Since version 3.8.0, Brython implements the Python version of the same major/minor version number. It includes libraries to interact with DOM elements and events, and with existing Javascript libraries such as... -
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OpenCLIP
An open source implementation of CLIP
The goal of this repository is to enable training models with contrastive image-text supervision and to investigate their properties such as robustness to distribution shift. Our starting point is an implementation of CLIP that matches the accuracy of the original CLIP models when trained on the same dataset. Specifically, a ResNet-50 model trained with our codebase on OpenAI's 15 million image subset of YFCC achieves 32.7% top-1 accuracy on ImageNet. OpenAI's CLIP model reaches 31.3% when... -
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Copulas
A library to model multivariate data using copulas
Copulas is a Python library for modeling multivariate distributions and sampling from them using copula functions. Given a table of numerical data, use Copulas to learn the distribution and generate new synthetic data following the same statistical properties. Choose from a variety of univariate distributions and copulas – including Archimedian Copulas, Gaussian Copulas and Vine Copulas. Compare real and synthetic data visually after building your model. Visualizations are available as 1D histograms, 2D scatterplots and 3D scatterplots. ... -
15
Bottles
Run Windows software and games on Linux
Bottles lets you run Windows software on Linux, such as applications and games. It introduces a workflow that helps you organize by categorizing each software to your liking. Bottles provide several tools and integrations to help you manage and optimize your applications. Bottles introduces a new way to handle Windows prefixes using environments, a combination of ready-to-use settings, libraries and dependencies. -
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DESERT OS Linux
Beautiful XFCE distribution
DESERT OS Linux is a fast, elegant Ubuntu-based Linux from Ukraine. It offers a refined XFCE experience optimized for both modern and legacy hardware. Key Features: - Lightweight: Fast performance with low resource usage. - Beautiful UI: Polished, modern look right out of the box. - Tiling Support: Integrated Cortile for easy window management. - Package Choice: Deb, Flatpak, Pacstall, Appimage, Windows msi/exe. - Smart Updates: Auto-detects the fastest mirrors for quick... -
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Panda-Helper
Panda-Helper: Data profiling utility for Pandas DataFrames and Series
Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis. -
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CloakBrowser
Stealth Chromium that passes every bot detection test
CloakBrowser is an open-source stealth browser automation platform built around a custom Chromium distribution with deep fingerprint-resistance modifications. Unlike traditional browser automation tools that rely primarily on injected JavaScript patches, CloakBrowser applies source-level Chromium modifications affecting WebGL, canvas rendering, audio fingerprints, fonts, GPU reporting, WebRTC behavior, and automation detection signals. The project integrates with Playwright and Puppeteer... -
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Entropy Linux
Arch based, Modern, Midweight, Practical, Experimental, AMD, Szmelc
Based on Arch. Built for Power Users and Sysadmins. Built for those who demand control over their system. Optimized for AMD™, it features a global dark theme and a suite of powerful tools for advanced users. Developed by two lead devs and their squad, it’s raw, unpolished, and built for those who love to tinker, learn, and push boundaries. Why Entropy? Power & Flexibility: Designed for power users, sysadmins, and DevOps pros. Advanced Toolset: Custom utilities to boost... -
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Uncertainty Baselines
High-quality implementations of standard and SOTA methods
Uncertainty Baselines is a collection of strong, well-documented training pipelines that make it straightforward to evaluate predictive uncertainty in modern machine learning models. Rather than offering toy scripts, it provides end-to-end recipes—data input, model architectures, training loops, evaluation metrics, and logging—so results are comparable across runs and research groups. The library spans canonical modalities and tasks, from image classification and NLP to tabular problems,... -
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SAM 3
Code for running inference and finetuning with SAM 3 model
SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an... -
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Flask
The Python micro framework for building web applications
Flask is a lightweight WSGI web application framework designed to help developers get started with their web applications quickly and easily with the ability to scale up to complex applications. Being a “micro” framework does not mean that your whole web application must fit into a single Python file (although it can) or that it be limited; rather it means that Flask aims to keep the core simple but extensible. Flask offers suggestions, but it won’t make any decisions for you such as... -
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Otter-Grader
A Python and R autograding solution
Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an... -
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Stable Baselines3
PyTorch version of Stable Baselines
Stable Baselines3 (SB3) is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of Stable Baselines. You can read a detailed presentation of Stable Baselines3 in the v1.0 blog post or our JMLR paper. These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around... -
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Ansible Molecule
Molecule aids in the development and testing of Ansible roles
...Molecule supports only the latest two major versions of Ansible (N/N-1), meaning that if the latest version is 2.9.x, we will also test our code with 2.8.x. Depending on the driver chosen, you may need to install additional OS packages. See INSTALL.rst, which is created when initializing a new scenario. Ansible is not listed as a direct dependency of molecule package because we only call it as a command-line tool. You may want to install it using your distribution package installer. It is your responsibility to assure that soft dependencies of Ansible are available on your controller or host machines.
