Search Results for "python basic project" - Page 7

Showing 5440 open source projects for "python basic project"

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  • 1
    OpenAssistant

    OpenAssistant

    Chat-based assistant that understands tasks

    OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. In the same way that Stable Diffusion helped the world make art and images in new ways, we want to improve the world by providing amazing conversational AI. We are in the early stages of development, working from established research in applying RLHF to large language models. Open Assistant is a project organized by LAION and individuals around...
    Downloads: 4 This Week
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  • 2
    Pandas Profiling

    Pandas Profiling

    Create HTML profiling reports from pandas DataFrame objects

    pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase...
    Downloads: 4 This Week
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  • 3
    CleanVision

    CleanVision

    Automatically find issues in image datasets

    CleanVision automatically detects potential issues in image datasets like images that are: blurry, under/over-exposed, (near) duplicates, etc. This data-centric AI package is a quick first step for any computer vision project to find problems in the dataset, which you want to address before applying machine learning. CleanVision is super simple -- run the same couple lines of Python code to audit any image dataset! The quality of machine learning models hinges on the quality of the data used...
    Downloads: 4 This Week
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  • 4
    Splunk Attack Range

    Splunk Attack Range

    A tool that allows you to create vulnerable environments

    The Splunk Attack Range is an open-source project maintained by the Splunk Threat Research Team. It builds instrumented cloud (AWS, Azure) and local environments (Virtualbox), simulates attacks, and forwards the data into a Splunk instance. This environment can then be used to develop and test the effectiveness of detections.
    Downloads: 4 This Week
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  • 5
    Promgen

    Promgen

    Promgen is a configuration file generator for Prometheus

    ... the Django key to the promgen.yml file. All available Django settings (not every setting may apply to Promgen) are listed in the Django reference. From any project or service, a developer can use the Subscribe to Notifications button to subscribe. Then from the developer’s profile page, they should select the notification methods they wish to use.
    Downloads: 4 This Week
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  • 6
    HTTPX

    HTTPX

    A next generation HTTP client for Python

    HTTPX is a fully featured HTTP client for Python 3, which provides sync and async APIs, and support for both HTTP/1.1 and HTTP/2. HTTPX should currently be considered in beta. A 1.0 release is expected to be issued sometime in 2021. International domains and URLs, keep-alive and connection pooling, sessions with cookie persistence, browser-style SSL verification. Basic/digest authentication, elegant key/value cookies, automatic decompression. Automatic content decoding, unicode response bodies...
    Downloads: 3 This Week
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  • 7
    Fantomas

    Fantomas

    FSharp source code formatter

    F# source code formatter, inspired by scalariform for Scala, ocp-indent for OCaml and PythonTidy for Python. This project aims at formatting F# source files based on a given configuration. Fantomas will ensure correct indentation and consistent spacing between elements in the source files. We assume that the source files are parsable by F# compiler before feeding into the tool. Fantomas follows two F# style guides: the F# code formatting guidelines from Microsoft by default and the G-Research F...
    Downloads: 4 This Week
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  • 8
    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: 4 This Week
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  • 9
    TensorRT Backend For ONNX

    TensorRT Backend For ONNX

    ONNX-TensorRT: TensorRT backend for ONNX

    Parses ONNX models for execution with TensorRT. Development on the main branch is for the latest version of TensorRT 8.4.1.5 with full dimensions and dynamic shape support. For previous versions of TensorRT, refer to their respective branches. Building INetwork objects in full dimensions mode with dynamic shape support requires calling the C++ and Python API. Current supported ONNX operators are found in the operator support matrix. For building within docker, we recommend using and setting up...
    Downloads: 4 This Week
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  • 10
    Amazon Braket Default Simulator

    Amazon Braket Default Simulator

    An implementation of a quantum simulator that you can run locally

    The Amazon Braket Default Simulator is a Python open-source library that provides an implementation of a quantum simulator that you can run locally. You can use the simulator to test quantum tasks that you construct for the Amazon Braket SDK before you submit them to the Amazon Braket service for execution. You must have the Amazon Braket SDK installed to use the local simulator. Follow the instructions in the README for setup. If you want to contribute to the project, be sure to run unit tests...
    Downloads: 4 This Week
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  • 11
    Bayesian Julia

    Bayesian Julia

    Bayesian Statistics using Julia and Turing

    Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from...
    Downloads: 4 This Week
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  • 12
    OWASP Mobile Application Security

    OWASP Mobile Application Security

    Manual for mobile app security testing and reverse engineering

    The OWASP Mobile Application Security (MAS) flagship project provides a security standard for mobile apps (OWASP MASVS) and a comprehensive testing guide (OWASP MASTG) that covers the processes, techniques, and tools used during a mobile app security test, as well as an exhaustive set of test cases that enables testers to deliver consistent and complete results. MAS Advocates are industry adopters of the OWASP MASVS and MASTG who have invested a significant and consistent amount of resources...
    Downloads: 4 This Week
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  • 13
    Python.NET

    Python.NET

    Package that gives Python programmers integration with .NET Common CLR

    ... not implement Python as a first-class CLR language - it does not produce managed code (IL) from Python code. Rather, it is an integration of the CPython engine with the .NET or Mono runtime. This approach allows you to use CLR services and continue to use existing Python code and C-API extensions while maintaining native execution speeds for Python code. If you are interested in a pure managed-code implementation of the Python language, you should check out the IronPython project.
    Downloads: 3 This Week
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  • 14
    xhtml2pdf

    xhtml2pdf

    A library for converting HTML into PDFs using ReportLab

    xhtml2pdf enables users to generate PDF documents from HTML content easily and with automated flow control such as pagination and keeping text together. The Python module can be used in any Python environment, including Django. The Command line tool is a stand-alone program that can be executed from the command line.
    Downloads: 3 This Week
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  • 15
    DVC

    DVC

    Data Version Control | Git for Data & Models

    DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code. Version control machine learning models, data sets and intermediate files. DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. Version control machine learning models, data sets,...
    Downloads: 4 This Week
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  • 16
    aws-prototyping-sdk

    aws-prototyping-sdk

    Contains useful CDK and Projen constructs vended in multiple languages

    AWS Prototyping SDK (PDK) is a package that contains useful CDK and Projen constructs. This package is built using projen and nx. Any change to projects/* or .projenrc.ts requires a synth to be executed. The PDK contains a set of useful CDK and Projen constructs, vended in multiple languages. For packages marked experimental, please refer to the usage instruction contained within the respective package documentation.
    Downloads: 4 This Week
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  • 17
    MODMAIL

    MODMAIL

    A feature rich discord Modmail bot

    Modmail is similar to Reddit's Modmail, both in functionality and purpose. It serves as a shared inbox for server staff to communicate with their users in a seamless way. This bot is free for everyone and always will be. If you like this project and would like to show your appreciation, you can support us on Patreon, cool benefits included! When a member sends a direct message to the bot, Modmail will create a channel or "thread" into a designated category. All further DM messages...
    Downloads: 4 This Week
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  • 18
    Spring Cloud Kubernetes

    Spring Cloud Kubernetes

    Kubernetes integration with Spring Cloud Discovery Client

    Spring Cloud Kubernetes provides implementations of well known Spring Cloud interfaces allowing developers to build and run Spring Cloud applications on Kubernetes. While this project may be useful to you when building a cloud native application, it is also not a requirement in order to deploy a Spring Boot app on Kubernetes. If you are just getting started in your journey to running your Spring Boot app on Kubernetes you can accomplish a lot with nothing more than a basic Spring Boot app...
    Downloads: 4 This Week
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  • 19
    Nerves

    Nerves

    Craft and deploy bulletproof embedded software in Elixir

    Nerves is the open-source platform and infrastructure you need to build, deploy, and securely manage your fleet of IoT devices at speed and scale. Nerves is written in Elixir, but you don’t have to rewrite everything in Elixir to get the advantages of Nerves, simply bring your own code (like C, C++, Python, Rust, and more) and scale up. Nerves use the Erlang runtime system, known for being distributed, fault-tolerant, soft real-time, and highly available. Nerves has the tools you need to manage...
    Downloads: 4 This Week
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  • 20
    Synapse Machine Learning

    Synapse Machine Learning

    Simple and distributed Machine Learning

    ..., and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.
    Downloads: 4 This Week
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  • 21
    tldr-pages

    tldr-pages

    Collaborative cheatsheets for console commands

    The tldr-pages project is a collection of community-maintained help pages for command-line tools, that aims to be a simpler, more approachable complement to traditional man pages. The tldr pages are a community effort to simplify the beloved man pages with practical examples. Maybe you are new to the command-line world? Or just a little rusty? Or perhaps you can't always remember the arguments to lsof, or tar? There seems to be room for simpler help pages, focused on practical examples...
    Downloads: 4 This Week
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  • 22
    BioEmu

    BioEmu

    Inference code for scalable emulation of protein equilibrium ensembles

    ... in backbone frame representation. To reconstruct the side-chains, several tools are available. As an example, we interface with HPacker to conduct side-chain reconstruction and also provide basic tooling for running a short molecular dynamics (MD) equilibration.
    Downloads: 3 This Week
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  • 23
    eos

    eos

    A lightweight 3D Morphable Face Model library in modern C++

    eos is a lightweight 3D Morphable Face Model fitting library that provides basic functionality to use face models, as well as camera and shape fitting functionality. It's written in modern C++11/14. MorphableModel and PcaModel classes to represent 3DMMs, with basic operations like draw_sample(). Supports the Surrey Face Model (SFM), 4D Face Model (4DFM), Basel Face Model (BFM) 2009 and 2017, and the Liverpool-York Head Model (LYHM) out-of-the-box.
    Downloads: 3 This Week
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  • 24
    Dokkatoo

    Dokkatoo

    Generates documentation for Kotlin Gradle projects (based on Dokka)

    Dokkatoo is a Gradle plugin that generates documentation for your Kotlin projects. Under the hood it uses Dokka, the API documentation engine for Kotlin. Dokkatoo has a number of improvements over the existing Dokka Gradle Plugin. Dokkatoo has basic functionality, and can generate documentation for single-projects and multimodule projects.
    Downloads: 3 This Week
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  • 25
    optillm

    optillm

    Optimizing inference proxy for LLMs

    OptiLLM is an optimizing inference proxy for Large Language Models (LLMs) that implements state-of-the-art techniques to enhance performance and efficiency. It serves as an OpenAI API-compatible proxy, allowing for seamless integration into existing workflows while optimizing inference processes. OptiLLM aims to reduce latency and resource consumption during LLM inference.
    Downloads: 3 This Week
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