Showing 642 open source projects for "ntfs-search"

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  • Free CRM Software With Something for Everyone Icon
    Free CRM Software With Something for Everyone

    216,000+ customers in over 135 countries grow their businesses with HubSpot

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    Say goodbye to blocks, restrictions, and CAPTCHAs

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  • 1
    Determined

    Determined

    Determined, deep learning training platform

    The fastest and easiest way to build deep learning models. Distributed training without changing your model code. Determined takes care of provisioning machines, networking, data loading, and fault tolerance. Build more accurate models faster with scalable hyperparameter search, seamlessly orchestrated by Determined. Use state-of-the-art algorithms and explore results with our hyperparameter search visualizations. Interpret your experiment results using the Determined UI and TensorBoard...
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  • 2
    Cinemagoer

    Cinemagoer

    Python package useful to retrieve and manage the data of IMDb

    Cinemagoer (previously known as IMDbPY) is a Python package for retrieving and managing the data of the IMDb movie database about movies and people. You can use the search_movie method of the access object to search for movies with a given (or similar) title. Similarly, you can search for people and companies using the search_person and the search_company methods. Movie, person, and company objects have id attributes which -when fetched through the IMDb web server- store the IMDb id...
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  • 3
    NeoDB

    NeoDB

    NeoDB is a self-hosted server tracking what you read/watch/listen/play

    NeoDB is an open-source software and global community platform since 2021. It helps users to manage and explore collections, reviews, and ratings for various cultural products, including books, movies, music, podcasts, games, and performances. Additionally, users can share their collections, publish microblogs, and engage with others in the Fediverse. NeoDB integrates the functionalities of platforms like Goodreads, Letterboxd, RateYourMusic, and Podchaser, among others. It also supports...
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  • 4
    GPT Researcher

    GPT Researcher

    LLM based autonomous agent that does online comprehensive research

    Say Hello to GPT Researcher, your AI mate for rapid insights and comprehensive research. GPT Researcher is the leading autonomous agent that takes care of everything from accurate source gathering to organization of research results.
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  • The #1 Embedded Analytics Solution for SaaS Teams. Icon
    The #1 Embedded Analytics Solution for SaaS Teams.

    Qrvey saves engineering teams time and money with a turnkey multi-tenant solution connecting your data warehouse to your SaaS application.

    Qrvey’s comprehensive embedded analytics software enables you to design more customizable analytics experiences for your end users.
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  • 5
    RecoverPy

    RecoverPy

    Interactively find and recover deleted or overwritten files

    RecoverPy is a powerful tool that leverages your system capabilities to recover lost files. Unlike others, you can not only recover deleted files but also overwritten data. Every block of your partition will be scanned. You can even find a string in binary files.
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  • 6
    AGiXT

    AGiXT

    AGiXT is a dynamic AI Automation Platform

    AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity...
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  • 7
    Sweep AI

    Sweep AI

    Sweep: AI-powered Junior Developer for small features and bug fixes

    Let Sweep handle your tech debt so you can focus on the exciting problems. Sweep is an AI junior developer that transforms bug reports & feature requests into code changes. Describe bugs, small features, and refactors like you would to a junior developer and Sweep.
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  • 8
    PyGitHub

    PyGitHub

    Typed interactions with the GitHub API v3

    PyGitHub is a Python library to access the GitHub REST API. This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications. PyGithub is a Python library to use the Github API v3. With it, you can manage your Github resources (repositories, user profiles, organizations, etc.) from Python scripts. Should you have any question, any remark, or if you find a bug, or if there is something you can do with the API but not with...
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  • 9
    ProxyPool

    ProxyPool

    An Efficient ProxyPool with Getter, Tester and Server

    Simple and efficient proxy pool, providing the following functions. Regularly crawl free proxy websites, easy and scalable. Use Redis to store brokers and sort broker availability. Regular testing and screening to eliminate unavailable proxies and leave available proxies. Provides a proxy API to randomly select available proxies that pass the test. The principle analysis of the proxy pool can be seen in " How to Build an Efficient Proxy Pool ". It is recommended to read it before using it....
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    Build Securely on Azure with Proven Frameworks

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  • 10
    Furo

    Furo

    A clean customizable documentation theme for Sphinx

    A clean customizable Sphinx documentation theme. Intentionally minimal, the most important thing is the content, not the scaffolding around it. Responsive, adapting perfectly to the available screen space, to work on all sorts of devices. Customizable, change the color palette, font families, logo and more! Easy to navigate, with carefully-designed sidebar navigation and inter-page links. Good-looking content, through clear typography and well-stylized elements. Good looking search, helps...
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  • 11
    AutoKeras

    AutoKeras

    AutoML library for deep learning

    AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the best...
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  • 12
    Elementary Algorithms

    Elementary Algorithms

    Book of elementary algorithms and data structures

    This book introduces elementary algorithms and data structure. It includes side-by-side comparison of purely functional realization and their imperative counterpart. From 2020/12, I started re-writing this book. The PDF can be downloaded for preview (EN, 中文). The 1st edition in Chinese (中文) was published in 2017. I recently switched my focus to the Mathematics of programming, the new book is also available in (github). To build the book in PDF format from the sources, you need the following...
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  • 13
    Zulip

    Zulip

    Powerful open source team chat application

    Zulip is a powerful open source group chat application that combines the immediacy of real-time chat with the productivity benefits of a threaded conversation model. Zulip’s unique threading model allows users to easily catch up on important conversations, helping to save time and increase productivity.
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  • 14
    Superduper

    Superduper

    Superduper: Integrate AI models and machine learning workflows

    Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. This allows...
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  • 15
    whisper-timestamped

    whisper-timestamped

    Multilingual Automatic Speech Recognition with word-level timestamps

    Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This repository proposes an implementation to predict word timestamps and provide a more...
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  • 16
    PySR

    PySR

    High-Performance Symbolic Regression in Python and Julia

    PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective. Over a period of several years, PySR has been engineered from the ground up to be (1) as high-performance as possible, (2) as configurable as possible, and (3) easy to use. PySR is developed alongside the Julia library SymbolicRegression.jl, which forms the powerful search engine of PySR. The details of these algorithms...
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  • 17
    Encord Active

    Encord Active

    The toolkit to test, validate, and evaluate your models and surface

    .... Get a high level overview of your data distribution, explore it by customizable quality metrics, and discover any anomalies. Use powerful similarity search to find more examples of edge-cases or outliers.
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  • 18
    Compose

    Compose

    A machine learning tool for automated prediction engineering

    Compose is a machine learning tool for automated prediction engineering. It allows you to structure prediction problems and generate labels for supervised learning. An end user defines an outcome of interest by writing a labeling function, then runs a search to automatically extract training examples from historical data. Its result is then provided to Featuretools for automated feature engineering and subsequently to EvalML for automated machine learning. Prediction problems are structured...
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  • 19
    Python Client For NLP Cloud

    Python Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models for NER

    NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, source code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic...
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  • 20
    FLAML

    FLAML

    A fast library for AutoML and tuning

    ... their desired customizability from a smooth range: minimal customization (computational resource budget), medium customization (e.g., scikit-style learner, search space, and metric), or full customization (arbitrary training and evaluation code). It supports fast automatic tuning, capable of handling complex constraints/guidance/early stopping. FLAML is powered by a new, cost-effective hyperparameter optimization and learner selection method invented by Microsoft Research.
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  • 21
    Weights and Biases

    Weights and Biases

    Tool for visualizing and tracking your machine learning experiments

    Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to production models. Quickly identify model regressions. Use W&B to visualize results in real time, all in a central dashboard. Focus on the interesting ML. Spend less time manually tracking results in spreadsheets and text files. Capture dataset versions with W&B Artifacts to identify how changing data affects your resulting models. Reproduce any model, with saved...
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  • 22
    AutoGluon

    AutoGluon

    AutoGluon: AutoML for Image, Text, and Tabular Data

    ... selection/ensembling, architecture search, and data processing. Easily improve/tune your bespoke models and data pipelines, or customize AutoGluon for your use-case. AutoGluon is modularized into sub-modules specialized for tabular, text, or image data. You can reduce the number of dependencies required by solely installing a specific sub-module via: python3 -m pip install <submodule>.
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  • 23
    Ray

    Ray

    A unified framework for scalable computing

    Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best...
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  • 24
    jrnl

    jrnl

    Collect your thoughts and notes without leaving the command line

    ... your thoughts where ever you are. jrnl is made by a bunch of really friendly and remarkably attractive people. Maybe even you? Effortlessly access several journals for all parts of your life. You can use it to easily create, search, and view journal entries. Journals are stored as human-readable plain text, and can also be encrypted using AES encryption.
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  • 25
    DjangoBlog

    DjangoBlog

    A blog system based on python3.8 and Django3.0

    Articles, pages, categories, tags (add, delete, edit), etc. Articles and pages support Markdown and highlighting. Articles support full-text search. Complete comment feature, include posting reply comment and email notification. Markdown supporting. Sidebar feature, new articles, most readings, tags, etc. OAuth Login supported, including Google, GitHub, Facebook, Weibo, QQ. Memcache supported, with cache auto refresh. Simple SEO Features, notify Google and Baidu when there was a new article...
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