Showing 696 open source projects for "or-tools"

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  • 1
    µPipenv

    µPipenv

    A lightweight wrapper for pip to support requirements.txt

    A lightweight wrapper for pip to support requirements.txt, Pipenv and Poetry lock files or converting them to pip-tools compatible output. Designed for containerized Python applications but not limited to them. if requirements.txt state all the packages in a pinned version with hashes (e.g. pip-tools), micropipenv installs packages with a possible fallback if the installation order is relevant. micropipenv does not substitute Poetry it rather complements it for containerized deployments where the size of the container image and software shipped with it matters. ...
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  • 2
    SageMaker MXNet Inference Toolkit

    SageMaker MXNet Inference Toolkit

    Toolkit for allowing inference and serving with MXNet in SageMaker

    SageMaker MXNet Inference Toolkit is an open-source library for serving MXNet models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain MXNet model types and utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep...
    Downloads: 0 This Week
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  • 3
    SharPyShell

    SharPyShell

    Tiny and obfuscated ASP.NET webshell for C# web applications

    ...In this framework, you will have all the tools needed to privesc, net discovery, and lateral movement as you are typing behind the cmd of the target server.
    Downloads: 0 This Week
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  • 4
    pyTorch Tutorials

    pyTorch Tutorials

    Build your neural network easy and fast

    pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks,...
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  • 5
    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...
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  • 6
    SageMaker Scikit-Learn Extension

    SageMaker Scikit-Learn Extension

    A library of additional estimators and SageMaker tools based on scikit

    A library of additional estimators and SageMaker tools based on scikit-learn. This project contains standalone scikit-learn estimators and additional tools to support SageMaker Autopilot. Many of the additional estimators are based on existing scikit-learn estimators. SageMaker Scikit-Learn Extension is a Python module for machine learning built on top of scikit-learn. In order to use the I/O functionalies in the sagemaker_sklearn_extension.externals module, you will also need to install the mlio version 0.7 package via conda. ...
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  • 7
    Manticore

    Manticore

    Symbolic execution tool

    Manticore helps us quickly take advantage of symbolic execution, taint analysis, and instrumentation to analyze binaries. Parts of Manticore underpinned our symbolic execution capabilities in the Cyber Grand Challenge. As an open-source tool, we hope that others can take advantage of these capabilities in their own projects. We prioritized simplicity and usability while building Manticore. We used minimal external dependencies and our API should look familiar to anyone with exploitation or...
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  • 8
    Buzz is a fast graphical editor for XML files with special support for OPML. Using the OPML convergence tools it will edit about any outline and many forms of indented text, including Python. In fact, Buzz was written with Buzz! It is written in P
    Downloads: 5 This Week
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  • 9
    PathPicker

    PathPicker

    Accepts a wide range of input, output from git commands & grep results

    PathPicker accepts a wide range of input, output from git commands, grep results, searches, pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands. Facebook PathPicker is a simple command line tool that solves the perpetual problem of selecting files out of bash output. Bash is fully supported and works the best. ZSH is supported as...
    Downloads: 0 This Week
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  • 10
    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: 1 This Week
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  • 11
    AWS Step Functions Data Science SDK

    AWS Step Functions Data Science SDK

    For building machine learning (ML) workflows and pipelines on AWS

    The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related...
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  • 12
    Raiden Network

    Raiden Network

    Raiden Network

    Use Raiden to enrich your dApp with nearly instant, low-fee and scalable payments. It comes with an easy-to-use API and is compatible with the Ethereum ERC20 token standard. Incentivized, decentralized P2P live streaming with micropayments using Raiden, introducing “Proof-of-Stream-Payment”. The Raiden Network is an infrastructure layer on top of the Ethereum Blockchain. While the basic idea is simple, the underlying protocol is quite complex and the implementation non-trivial. Nonetheless...
    Downloads: 0 This Week
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  • 13
    SVoice (Speech Voice Separation)

    SVoice (Speech Voice Separation)

    We provide a PyTorch implementation of the paper Voice Separation

    SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple...
    Downloads: 2 This Week
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  • 14
    DracOS GNU/Linux Remastered
    ...This operating system is one variant of Linux distributions, which is used to perform security testing (penetration testing). Dracos linux in Arm by hundreds hydraulic pentest, forensics and reverse engineering. Use a GUI-based tools-tools the software using the CLI (command line interface) and GUI (graphical user interface) to perform its operations. Now Dracos currently already up to version 3.1.5 with the code name "KUNTILANAK WITH REMASTERED".
    Downloads: 8 This Week
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  • 15
    Interpret-Text

    Interpret-Text

    State-of-the-art explainers for text-based machine learning models

    ...Interpret-Text incorporates community-developed interpretability techniques for NLP models and a visualization dashboard to view the results. Users can run their experiments across multiple state-of-the-art explainers and easily perform comparative analysis on them. Using these tools, users will be able to explain their machine-learning models globally on each label or locally for each document.
    Downloads: 0 This Week
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  • 16
    q - Text as Data

    q - Text as Data

    Run SQL directly on CSV or TSV files

    q is a command line tool that allows direct execution of SQL-like queries on CSVs/TSVs (and any other tabular text files). q treats ordinary files as database tables, and supports all SQL constructs, such as WHERE, GROUP BY, JOINs etc. It supports automatic column name and column type detection, and provides full support for multiple encodings. q fully supports all types of encoding. Use -e data-encoding to set the input data encoding, -Q query-encoding to set the query encoding, and use -E...
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  • 17
    Battery Life Saver

    Battery Life Saver

    Battery Life Saver can extend the life span of laptop batteries.

    Battery Life Saver can extend the life span of laptop batteries. Using a Laptop Battery continuously by overcharging above 90% or by below 15%, reduces its life span. This light-weight .exe program, Battery Life Saver will alarm, on excess charging or discharging. Set the desired Battery Limit Percentage using the slider, say 50% and allow the Battery Life Saver to give alarm. It automatically detects, charging and battery status. For more advanced options, contact the...
    Downloads: 2 This Week
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  • 18
    Nimporter

    Nimporter

    Compile Nim Extensions for Python On Import

    Nimporter allows the seamless import of Nim code into Python projects, enabling the use of Nim's performance and syntax within Python applications.
    Downloads: 0 This Week
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  • 19
    YOLOR

    YOLOR

    implementation of paper - You Only Learn One Representation

    ...It builds on the YOLO family and related PyTorch detection work, combining practical detector training with a research idea about unified representations. YOLOR includes model configurations, training code, evaluation scripts, inference tools, and pretrained weights. Its central contribution is the use of implicit knowledge to improve network performance without treating every task as fully separate. It is useful for computer vision researchers and developers studying YOLO-style detectors, representation learning, and high-performance detection systems.
    Downloads: 0 This Week
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  • 20
    Downloads: 0 This Week
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  • 21
    vmm - a virtual mail manager

    vmm - a virtual mail manager

    command line tool to manage email (alias-)domains/accounts/aliases …

    vmm is the easy to use and configurable command line tool for administrators and postmasters, to manage domains, alias-domains, accounts and relocated mail users. It allows the fast and easy management of mail servers. vmm is written in Python. It's designed for installations using Dovecot and Postfix with a PostgreSQL backend.
    Downloads: 2 This Week
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  • 22
    PyTorchVideo

    PyTorchVideo

    A deep learning library for video understanding research

    ...It supports video I/O pipelines, data augmentation, distributed training, and mixed precision computation for large-scale experiments. PyTorchVideo also connects seamlessly with other Meta AI tools such as Detectron2 and PyTorch3D for multimodal video analysis. Designed to accelerate research and deployment, it serves as a unified framework for reproducible, high-performance video AI development.
    Downloads: 0 This Week
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  • 23
    TRFL

    TRFL

    TensorFlow Reinforcement Learning

    TRFL, developed by Google DeepMind, is a TensorFlow-based library that provides a collection of essential building blocks for reinforcement learning (RL) algorithms. Pronounced “truffle,” it simplifies the implementation of RL agents by offering reusable components such as loss functions, value estimation tools, and temporal difference (TD) learning operators. The library is designed to integrate seamlessly with TensorFlow, allowing users to define differentiable RL objectives and train models using standard optimization routines. TRFL supports both CPU and GPU TensorFlow environments, though TensorFlow itself must be installed separately. ...
    Downloads: 2 This Week
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  • 24
    ML workspace

    ML workspace

    All-in-one web-based IDE specialized for machine learning

    ...It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows.
    Downloads: 1 This Week
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  • 25

    bob-buildsystem

    Software build system

    bob is a Python3 based software build system roughly comparable with autotools + gmake or CMake + gmake. It is meant to overcome known shortcomings of the two.
    Downloads: 0 This Week
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