Search Results for "compiler python linux" - Page 58

Showing 14218 open source projects for "compiler python linux"

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  • 1
    Letta

    Letta

    Letta (formerly MemGPT) is a framework for creating LLM services

    Letta is an AI-powered task automation framework designed to handle workflow automation, natural language commands, and AI-driven decision-making.
    Downloads: 0 This Week
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  • 2
    NNCF

    NNCF

    Neural Network Compression Framework for enhanced OpenVINO

    NNCF (Neural Network Compression Framework) is an optimization toolkit for deep learning models, designed to apply quantization, pruning, and other techniques to improve inference efficiency.
    Downloads: 0 This Week
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  • 3
    DeepSparse

    DeepSparse

    Sparsity-aware deep learning inference runtime for CPUs

    A sparsity-aware enterprise inferencing system for AI models on CPUs. Maximize your CPU infrastructure with DeepSparse to run performant computer vision (CV), natural language processing (NLP), and large language models (LLMs).
    Downloads: 0 This Week
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  • 4
    Text Generation Inference

    Text Generation Inference

    Large Language Model Text Generation Inference

    Text Generation Inference is a high-performance inference server for text generation models, optimized for Hugging Face's Transformers. It is designed to serve large language models efficiently with optimizations for performance and scalability.
    Downloads: 0 This Week
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  • 5
    aisuite

    aisuite

    Simple, unified interface to multiple Generative AI providers

    Simple, unified interface to multiple Generative AI providers. aisuite makes it easy for developers to use multiple LLM through a standardized interface. Using an interface similar to OpenAI's, aisuite makes it easy to interact with the most popular LLMs and compare the results. It is a thin wrapper around Python client libraries and allows creators to seamlessly swap out and test responses from different LLM providers without changing their code. Today, the library is primarily focused on...
    Downloads: 0 This Week
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  • 6
    Polar.sh

    Polar.sh

    Polar is the best funding & monetization platform for developers

    Focus on building your passion, while we focus on the infrastructure to get you paid. Your Polar page can be displayed as an official funding option across your GitHub repositories. Get one-time donations of support from your community with ease. Turn issues into a crowdfunded backlog and share the funding with your contributors.
    Downloads: 0 This Week
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  • 7
    Advanced Solutions Lab

    Advanced Solutions Lab

    This repos contains notebooks for the Advanced Solutions Lab

    This repository contains Jupyter notebooks meant to be run on Vertex AI. This is maintained by Google Cloud’s Advanced Solutions Lab (ASL) team. Vertex AI is the next-generation AI Platform on the Google Cloud Platform. The material covered in this repo will take a software engineer with no exposure to machine learning to an advanced level.
    Downloads: 0 This Week
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  • 8
    Autodistill

    Autodistill

    Images to inference with no labeling

    Autodistill uses big, slower foundation models to train small, faster supervised models. Using autodistill, you can go from unlabeled images to inference on a custom model running at the edge with no human intervention in between. You can use Autodistill on your own hardware, or use the Roboflow hosted version of Autodistill to label images in the cloud.
    Downloads: 0 This Week
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  • 9
    Core ML Tools

    Core ML Tools

    Core ML tools contain supporting tools for Core ML model conversion

    Use Core ML Tools (coremltools) to convert machine learning models from third-party libraries to the Core ML format. This Python package contains the supporting tools for converting models from training libraries. Core ML is an Apple framework to integrate machine learning models into your app. Core ML provides a unified representation for all models. Your app uses Core ML APIs and user data to make predictions, and to fine-tune models, all on the user’s device. Core ML optimizes on-device...
    Downloads: 0 This Week
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  • 10
    HexChat

    HexChat

    GTK+ IRC client

    HexChat is an IRC client based on XChat, but unlike XChat it’s completely free for both Windows and Unix-like systems. Since XChat is open source, it’s perfectly legal. For more info, please read the Shareware background. HexChat was originally called XChat-WDK which in turn was a successor of freakschat.
    Downloads: 5 This Week
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  • 11
    wikmd

    wikmd

    A file based wiki that uses markdown

    It’s a file-based wiki that aims to simplicity. Instead of storing the data in a database I chose to have a file-based system. The advantage of this system is that every file is directly readable inside a terminal etc. Also when you have direct access to the system you can export the files to anything you like.
    Downloads: 0 This Week
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  • 12
    AutoMLOps

    AutoMLOps

    Build MLOps Pipelines in Minutes

    AutoMLOps is a service that generates, provisions, and deploys CI/CD integrated MLOps pipelines, bridging the gap between Data Science and DevOps. AutoMLOps provides a repeatable process that dramatically reduces the time required to build MLOps pipelines. The service generates a containerized MLOps codebase, provides infrastructure-as-code to provision and maintain the underlying MLOps infra, and provides deployment functionalities to trigger and run MLOps pipelines. AutoMLOps gives...
    Downloads: 0 This Week
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  • 13
    nbmake

    nbmake

    Pytest plugin for testing notebooks

    Pytest plugin for testing and releasing notebook documentation. To raise the quality of scientific material through better automation. Research/Machine Learning Software Engineers who maintain packages/teaching materials with documentation written in notebooks.
    Downloads: 0 This Week
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  • 14
    AtomAI

    AtomAI

    Deep and Machine Learning for Microscopy

    AtomAI is a Pytorch-based package for deep and machine-learning analysis of microscopy data that doesn't require any advanced knowledge of Python or machine learning. The intended audience is domain scientists with a basic understanding of how to use NumPy and Matplotlib. It was developed by Maxim Ziatdinov at Oak Ridge National Lab. The purpose of the AtomAI is to provide an environment that bridges the instrument-specific libraries and general physical analysis by enabling the seamless...
    Downloads: 0 This Week
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  • 15
    GemGIS

    GemGIS

    Spatial data processing for geomodeling

    GemGIS is a Python-based, open-source geographic information processing library. It is capable of preprocessing spatial data such as vector data (shape files, geojson files, geopackages,…), raster data (tif, png,…), data obtained from online services (WCS, WMS, WFS) or XML/KML files (soon). Preprocessed data can be stored in a dedicated Data Class to be passed to the geomodeling package GemPy in order to accelerate the model-building process. Postprocessing of model results will allow export...
    Downloads: 0 This Week
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  • 16
    granary

    granary

    The social web translator

    The social web translator. Fetches and converts data between social networks, HTML and JSON with microformats2, ActivityStreams/ActivityPub, Atom, JSON Feed, and more. Granary is a library and REST API that fetches and converts between a wide variety of social data sources and formats. Free yourself from silo API chaff and expose the sweet social data foodstuff inside in standard formats and protocols.
    Downloads: 0 This Week
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  • 17
    Changelog CI

    Changelog CI

    Changelog CI is a GitHub Action that enables a project

    Changelog CI is a GitHub Action that enables a project to automatically generate changelogs. Changelog CI can be triggered on pull_request, workflow_dispatch, and any other events that can provide the required inputs. Changelog CI uses python and GitHub API to generate a changelog for a repository. First, it tries to get the latest release from the repository (If available). Then, it checks all the pull requests/commits merged after the last release using the GitHub API. After that, it...
    Downloads: 0 This Week
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  • 18
    Hugo Academic CLI

    Hugo Academic CLI

    Import academic publications from Bibtex to your Markdown website

    Import publications from your reference manager to Hugo. Import publications, including books, conference proceedings and journals, from your reference manager to your static site generator. Simply export a BibTeX file from your reference manager, such as Zotero, and provide this as the input.
    Downloads: 0 This Week
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  • 19
    Mosec

    Mosec

    A high-performance ML model serving framework, offers dynamic batching

    Mosec is a high-performance and flexible model-serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API.
    Downloads: 0 This Week
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  • 20
    towhee

    towhee

    Framework that is dedicated to making neural data processing

    Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to...
    Downloads: 0 This Week
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  • 21
    VectorDB

    VectorDB

    A Python vector database you just need, no more, no less

    vectordb is a Pythonic vector database offers a comprehensive suite of CRUD (Create, Read, Update, Delete) operations and robust scalability options, including sharding and replication. It's readily deployable in a variety of environments, from local to on-premise and cloud. vectordb delivers exactly what you need - no more, no less. It's a testament to effective Pythonic design without over-engineering, making it a lean yet powerful solution for all your needs. vectordb capitalizes on the...
    Downloads: 0 This Week
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  • 22
    Apache Sedona

    Apache Sedona

    Cluster computing framework for processing large-scale geospatial data

    Apache Sedona™ is a cluster computing system for processing large-scale spatial data. Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive...
    Downloads: 1 This Week
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  • 23
    Population Shift Monitoring

    Population Shift Monitoring

    Monitor the stability of a Pandas or Spark dataframe

    popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets. popmon creates histograms of features binned in time-slices, and compares the stability of the profiles and distributions of those histograms using statistical tests, both over time and with respect to a reference. It works with numerical, ordinal, categorical features, and the histograms can be higher-dimensional, e.g. it can also track correlations between any two...
    Downloads: 0 This Week
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  • 24
    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. It is based on the...
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  • 25
    pre-commit-hooks

    pre-commit-hooks

    Some out-of-the-box hooks for pre-commit

    Some out-of-the-box hooks for pre-commit. Using pre-commit-hooks with pre-commit. Instead of loading the files, simply parse them for syntax. A syntax-only check enables extensions and unsafe constructs which would otherwise be forbidden. Using this option removes all guarantees of portability to other yaml implementations. Detect symlinks which are changed to regular files with a content of a path that that symlink was pointing to. This usually happens on Windows when a user clones a...
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