Search Results for "python framework" - Page 12

Showing 1151 open source projects for "python framework"

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  • 1
    OpenVINO Training Extensions

    OpenVINO Training Extensions

    Trainable models and NN optimization tools

    ... optimize optimizes a pre-trained model using NNCF or POT depending on the model format. NNCF optimization used for trained snapshots in a framework-specific format. POT optimization used for models exported in the OpenVINO IR format.
    Downloads: 1 This Week
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  • 2
    PyTorch Geometric Temporal

    PyTorch Geometric Temporal

    Spatiotemporal Signal Processing with Neural Machine Learning Models

    The library consists of various dynamic and temporal geometric deep learning, embedding, and Spatio-temporal regression methods from a variety of published research papers. Moreover, it comes with an easy-to-use dataset loader, train-test splitter and temporal snaphot iterator for dynamic and temporal graphs. The framework naturally provides GPU support. It also comes with a number of benchmark datasets from the epidemiological forecasting, sharing economy, energy production and web traffic...
    Downloads: 1 This Week
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  • 3
    aws-encryption-sdk

    aws-encryption-sdk

    AWS Encryption SDK

    The AWS Encryption SDK is a client-side encryption library designed to make it easy for everyone to encrypt and decrypt data using industry standards and best practices. It enables you to focus on the core functionality of your application, rather than on how to best encrypt and decrypt your data. The AWS Encryption SDK is provided free of charge under the Apache 2.0 license. With the AWS Encryption SDK, you define a master key provider (Java and Python) or a keyring (C, C#/.NET, and JavaScript...
    Downloads: 1 This Week
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  • 4
    Dbmate

    Dbmate

    A lightweight, framework-agnostic database migration tool

    Dbmate is a database migration tool, to keep your database schema in sync across multiple developers and your production servers. It is a standalone command line tool, which can be used with Go, Node.js, Python, Ruby, PHP, or any other language or framework you are using to write database-backed applications. This is especially helpful if you are writing many services in different languages, and want to maintain some sanity with consistent development tools. Supports MySQL, PostgreSQL, SQLite...
    Downloads: 1 This Week
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  • 5
    Moshi

    Moshi

    A speech-text foundation model for real time dialogue

    Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps). Moshi models two streams of audio: one corresponds to Moshi...
    Downloads: 1 This Week
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  • 6
    Aviary

    Aviary

    Ray Aviary - evaluate multiple LLMs easily

    Aviary is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs. Providing an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. Supporting Transformer models hosted on Hugging Face Hub or present on local disk. Aviary has native support for autoscaling and multi-node deployments thanks to Ray and Ray Serve. Aviary can scale to zero and create new model replicas (each composed of multiple GPU workers) in...
    Downloads: 1 This Week
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  • 7
    dbt-re-data

    dbt-re-data

    re_data - fix data issues before your users & CEO would discover them

    re_data is an open-source data reliability framework for the modern data stack. Currently, re_data focuses on observing the dbt project (together with underlaying data warehouse - Postgres, BigQuery, Snowflake, Redshift). Data transformations in re_data are implemented and exposed as models & macros in this dbt package. Gather all relevant outputs about your data in one place using our cloud. Invite your team and debug it easily from there. Go back in time, and see your past metadata. Set up...
    Downloads: 1 This Week
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  • 8
    NVIDIA Merlin

    NVIDIA Merlin

    Library providing end-to-end GPU-accelerated recommender systems

    NVIDIA Merlin is an open-source library that accelerates recommender systems on NVIDIA GPUs. The library enables data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale. Merlin includes tools to address common feature engineering, training, and inference challenges. Each stage of the Merlin pipeline is optimized to support hundreds of terabytes of data, which is all accessible through easy-to-use APIs. For more information, see NVIDIA...
    Downloads: 1 This Week
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  • 9
    PaddleNLP

    PaddleNLP

    Easy-to-use and powerful NLP library with Awesome model zoo

    PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities...
    Downloads: 1 This Week
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  • 10
    SAHI

    SAHI

    A lightweight vision library for performing large object detection

    ... challenge in surveillance applications. Such objects are represented by small number of pixels in the image and lack sufficient details, making them difficult to detect using conventional detectors. In this work, an open-source framework called Slicing Aided Hyper Inference (SAHI) is proposed that provides a generic slicing aided inference and fine-tuning pipeline for small object detection.
    Downloads: 1 This Week
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  • 11
    Jina

    Jina

    Build cross-modal and multimodal applications on the cloud

    Jina is a framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP...
    Downloads: 1 This Week
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  • 12
    Nextpy

    Nextpy

    Self-Modifying Framework from the Future

    NextPy is a Python-based framework for building AI-powered automation agents, allowing developers to create intelligent, rule-based workflows.
    Downloads: 0 This Week
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  • 13
    TextAttack

    TextAttack

    Python framework for adversarial attacks, and data augmentation

    Generating adversarial examples for NLP models. TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP.
    Downloads: 0 This Week
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  • 14
    ConcurrentSim.jl

    ConcurrentSim.jl

    Discrete event process oriented simulation framework written in Julia

    A discrete event process-oriented simulation framework written in Julia inspired by the Python library SimPy. One of the longest-lived Julia packages (originally under the name SimJulia).
    Downloads: 0 This Week
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  • 15
    Tequila

    Tequila

    A High-Level Abstraction Framework for Quantum Algorithms

    Tequila is an abstraction framework for (variational) quantum algorithms. It operates on abstract data structures allowing the formulation, combination, automatic differentiation and optimization of generalized objectives. Tequila can execute the underlying quantum expectation values on state-of-the-art simulators as well as on real quantum devices.
    Downloads: 0 This Week
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  • 16
    Sanic

    Sanic

    Async Python 3.6+ web server/framework

    Build fast, run fast with Sanic! Sanic is a Python 3.6+ web server and web framework designed to go fast. It provides a way to get a highly performant HTTP server up and running fast, while also making it easy to build, expand, and eventually scale. Sanic aspires to be as simple as possible while delivering the performance that you require. It allows the usage of the async/await syntax added in Python 3.5, so your code is guaranteed to be non-blocking and speedy. It's also ASGI compliant, so...
    Downloads: 0 This Week
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  • 17
    Rio

    Rio

    WebApps in pure Python. No JavaScript, HTML and CSS needed

    Rio is a Python framework designed to build web applications without the need for HTML, CSS, or JavaScript. Inspired by frameworks like Flutter and React, Rio offers a declarative interface and reusable components, enabling developers to create dynamic web apps entirely in Python. It streamlines the development process by managing both frontend and backend seamlessly.
    Downloads: 0 This Week
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  • 18
    Enferno

    Enferno

    Modern Flask framework optimized for AI-assisted development

    Enferno is a framework for building developer-first cloud backends using PostgreSQL and TypeScript. It offers primitives for defining data models, APIs, and access rules directly in code, enabling quick iteration and deployment. Enferno is designed to accelerate SaaS and internal tool development by combining the benefits of traditional backends with developer ergonomics.
    Downloads: 0 This Week
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  • 19
    BioNeMo

    BioNeMo

    BioNeMo Framework: For building and adapting AI models

    BioNeMo is an AI-powered framework developed by NVIDIA for protein and molecular generation using deep learning models. It provides researchers and developers with tools to design, analyze, and optimize biological molecules, aiding in drug discovery and synthetic biology applications.
    Downloads: 0 This Week
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  • 20
    MindNLP

    MindNLP

    Easy-to-use and high-performance NLP and LLM framework

    MindNLP is a natural language processing library built on the MindSpore framework, providing tools and models for various NLP tasks.
    Downloads: 0 This Week
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  • 21
    LightAutoML

    LightAutoML

    Fast and customizable framework for automatic ML model creation

    LightAutoML is an automated machine learning (AutoML) framework optimized for efficient model training and hyperparameter tuning, focusing on both tabular and text data.
    Downloads: 0 This Week
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  • 22
    QPanda 2

    QPanda 2

    QPanda 2 is an open source quantum computing framework

    QPanda2 is an open source quantum computing framework developed by Origin Quantum, which can be used to build, run and optimize quantum algorithms. QPanda2 is the basic library of a series of software developed by Origin Quantum, which provides core components for QRunes, Qurator and quantum computing services.
    Downloads: 0 This Week
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  • 23
    PydanticAI

    PydanticAI

    Agent Framework / shim to use Pydantic with LLMs

    When I first found FastAPI, I got it immediately. I was excited to find something so innovative and ergonomic built on Pydantic. Virtually every Agent Framework and LLM library in Python uses Pydantic, but when we began to use LLMs in Pydantic Logfire, I couldn't find anything that gave me the same feeling. PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer...
    Downloads: 0 This Week
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  • 24
    Alibi Detect

    Alibi Detect

    Algorithms for outlier, adversarial and drift detection

    Alibi Detect is an open source Python library focused on outlier, adversarial and drift detection. The package aims to cover both online and offline detectors for tabular data, text, images and time series. Both TensorFlow and PyTorch backends are supported for drift detection.
    Downloads: 0 This Week
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  • 25
    Medusa

    Medusa

    Framework for Accelerating LLM Generation with Multiple Decoding Heads

    Medusa is a framework aimed at accelerating the generation capabilities of Large Language Models (LLMs) by employing multiple decoding heads. This approach allows for parallel processing during text generation, significantly enhancing throughput and reducing response times. Medusa is designed to be simple to implement and integrates with existing LLM infrastructures, making it a practical solution for scaling LLM applications.
    Downloads: 0 This Week
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