Search Results for "text input note" - Page 4

Showing 944 open source projects for "text input note"

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  • 1
    Python.NET

    Python.NET

    Package that gives Python programmers integration with .NET Common CLR

    Python.NET (pythonnet) is a package that gives Python programmers nearly seamless integration with the .NET 4.0+ Common Language Runtime (CLR) on Windows and Mono runtime on Linux and OSX. Python.NET provides a powerful application scripting tool for .NET developers. Using this package you can script .NET applications or build entire applications in Python, using .NET services and components written in any language that targets the CLR (C#, VB.NET, F#, C++/CLI). Note that this package does...
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  • 2
    Merlin

    Merlin

    Context sensitive completion for OCaml in Vim and Emacs

    Merlin is an editor service that provides modern IDE features for OCaml. Emacs and Vim support is provided out-of-the-box. Since version 4.0, merlin's repository has a dedicated branch per version of OCaml, and the branch name consist of the concatenation of OCaml major version and minor version. So, for instance, OCaml 4.11.* maps to branch 411. The main branch is usually synchronized with the branch compatible with the latest (almost-)released version of OCaml. Note: if you're using an older...
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  • 3
    Scikit-LLM

    Scikit-LLM

    Seamlessly integrate LLMs into scikit-learn

    Seamlessly integrate powerful language models like ChatGPT into sci-kit-learn for enhanced text analysis tasks. At the moment the majority of the Scikit-LLM estimators are only compatible with some of the OpenAI models. Hence, a user-provided OpenAI API key is required. Additionally, Scikit-LLM will ensure that the obtained response contains a valid label. If this is not the case, a label will be selected randomly (label probabilities are proportional to label occurrences in the training set...
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  • 4
    terminalGPT

    terminalGPT

    Get GPT like ChatGPT on your terminal

    Get GPT like ChatGPT on your terminal Note: This doesn't use OpenAI ChatGPT, it uses text-davinci-003 model (by default) You'll need to have your own OpenAi apikey to operate this package. 1. Go to https://beta.openai.com 2. Select you profile menu and go to View API Keys 3. Select + Create new secret key 4. Copy generated key Get started: Using tgpt: npm -g install terminalgpt or yarn global add terminalgpt Run tgpt chat ps.: If it is your first time running...
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    Logrus

    Logrus

    Structured, pluggable logging for Go

    ... for security, backwards compatibility and performance, so you can still rely on it for structured logging in Golang. Please take note however, that everything using Logrus will need to use lower-case so as to avoid casing issues.
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  • 6
    Alfy

    Alfy

    Create Alfred workflows with ease

    Alfy offers the possibility of caching data, either with the fetch or directly through the cache object. An important thing to note is that the cached data gets invalidated automatically when you update your workflow. This offers the flexibility for developers to change the structure of the cached data between workflows without having to worry about invalid older data. You can remove these properties from your info.plist file as they are being added automatically at install time. When...
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  • 7
    AWS IoT Device SDK for Java v2

    AWS IoT Device SDK for Java v2

    Next generation AWS IoT Client SDK for Java

    Next-generation AWS IoT Client SDK for Java using the AWS Common Runtime. This SDK is built on the AWS Common Runtime, a collection of libraries (aws-c-common, aws-c-io, aws-c-mqtt, aws-c-http, aws-c-cal, aws-c-auth, s2n...) written in C to be cross-platform, high-performance, secure, and reliable. The libraries are bound to Java by the aws-crt-java package. Consuming this SDK via Maven is the preferred method of consuming it. Supports API 26 or newer. NOTE: The shadow sample does not currently...
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  • 8
    Moshi

    Moshi

    A speech-text foundation model for real time dialogue

    ..., and the other one to the user. At inference, the stream from the user is taken from the audio input, and the one for Moshi is sampled from the model's output. Along these two audio streams, Moshi predicts text tokens corresponding to its own speech, its inner monologue, which greatly improves the quality of its generation. A small Depth Transformer models inter codebook dependencies for a given time step, while a large, 7B parameter Temporal Transformer models the temporal dependencies.
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  • 9
    Onefetch

    Onefetch

    Git repository summary on your terminal

    Onefetch is a command-line Git information tool written in Rust that displays project information and code statistics for a local Git repository directly on your terminal. The tool is completely offline, no network access is required. By default, the repo's information is displayed alongside the dominant language's logo, but you can further configure onefetch to instead use an image, on supported terminals, text input, or nothing at all. It automatically detects open source licenses from texts...
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  • 10
    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 code...
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  • 11
    script-server

    script-server

    Web UI for your scripts with execution management

    Script-server is a Web UI for scripts. As an administrator, you add your existing scripts into Script server and other users would be able to execute them via a web interface. The UI is very straightforward and can be used by non-tech people. No script modifications are needed - you configure each script in Script server and it creates the corresponding UI with parameters and takes care of validation, execution, etc.
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  • 12
    LlamaIndex

    LlamaIndex

    Central interface to connect your LLM's with external data

    LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. LlamaIndex is a simple, flexible interface between your external data and LLMs. It provides the following tools in an easy-to-use fashion.
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  • 13
    Doctrine Annotations

    Doctrine Annotations

    Annotations docblock parser

    ... to the annotations happens by reflection of the class containing them. There are multiple reader-classes implementing the Doctrine\Common\Annotations\Reader interface, that can access the annotations of a class. A common one is Doctrine\Common\Annotations\AnnotationReader. Note that AnnotationRegistry::registerLoader('class_exists') only works if you already have an autoloader configured (i.e. composer autoloader). Otherwise, please take a look to the other annotation autoload mechanisms.
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  • 14
    CPT

    CPT

    CPT: A Pre-Trained Unbalanced Transformer

    A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We...
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  • 15
    Kaleidoscope-SDK

    Kaleidoscope-SDK

    User toolkit for analyzing and interfacing with Large Language Models

    kaleidoscope-sdk is a Python module used to interact with large language models hosted via the Kaleidoscope service available at: https://github.com/VectorInstitute/kaleidoscope. It provides a simple interface to launch LLMs on an HPC cluster, asking them to perform basic features like text generation, but also retrieve intermediate information from inside the model, such as log probabilities and activations. Users must authenticate using their Vector Institute cluster credentials. This can...
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  • 16
    Emacs for You (Emfy)

    Emacs for You (Emfy)

    A dark and sleek Emacs setup for general purpose editing

    This project provides a tiny .emacs file to set up Emacs quickly. This document provides a detailed description of how to set it up and get started with Emacs. Further this project also provides a tiny convenience command named em to start Emacs server and edit files using Emacs server. This helps in using Emacs efficiently. This script and its usage is explained in detail later in the Emacs Server and Emacs Launcher sections. If you are already comfortable with Emacs and only want to...
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  • 17
    doom-modeline

    doom-modeline

    A fancy and fast mode-line inspired by minimalism design

    ... with minions. An error/warning count segment for flymake/flycheck. A workspace number/name segment for eyebrowse or tab-bar-mode. A perspective name segment for persp-mode. A window number segment for ace-window, winum and window-numbering. An indicator for modal editing state, including evil, overwrite, god, ryo and xah-fly-keys, etc. An indicator for battery status. An indicator for the current input method. An indicator for debug state. An indicator for the remote host.
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  • 18
    Emacs-Helm

    Emacs-Helm

    Emacs incremental completion and selection narrowing framework

    Emacs incremental completion and selection narrowing framework. Helm is an Emacs framework for incremental completions and narrowing selections. It helps to rapidly complete file names, buffer names, or any other Emacs interactions requiring selecting an item from a list of possible choices. Helm is a fork of anything.el, which was originally written by Tamas Patrovic and can be considered to be its successor. Helm cleans the legacy code that is leaner, modular, and unchained from...
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  • 19
    TensorRT Backend For ONNX

    TensorRT Backend For ONNX

    ONNX-TensorRT: TensorRT backend for ONNX

    ... the docker containers as instructed in the main (TensorRT repository). Note that this project has a dependency on CUDA. By default the build will look in /usr/local/cuda for the CUDA toolkit installation. If your CUDA path is different, overwrite the default path. ONNX models can be converted to serialized TensorRT engines using the onnx2trt executable.
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  • 20
    segment-geospatial

    segment-geospatial

    A Python package for segmenting geospatial data with the SAM

    The segment-geospatial package draws its inspiration from segment-anything-eo repository authored by Aliaksandr Hancharenka. To facilitate the use of the Segment Anything Model (SAM) for geospatial data, I have developed the segment-anything-py and segment-geospatial Python packages, which are now available on PyPI and conda-forge. My primary objective is to simplify the process of leveraging SAM for geospatial data analysis by enabling users to achieve this with minimal coding effort. I...
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  • 21
    Voyage

    Voyage

    Voyager - The Missing Laravel Admin

    Voyager is a Laravel Admin Package that includes BREAD(CRUD) operations, a media manager, menu builder, and much more. Voyager can save you so much time and it will make building applications even more fun. Voyager's admin interface allows you to create CRUD or BREAD (Browse, Read, Edit, Add, and Delete) functionality to your posts, pages, or any other table in your database. Voyager has a fully functional media manager which allows you to view/edit/delete files from your storage. All files...
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  • 22
    osu!framework

    osu!framework

    A game framework written with osu! in mind.

    .... This means things like basic UI elements, text rendering, advanced input handling (textboxes) and performance overlays are provided out-of-the-box. Any of the osu! code that is deemed useful to other game projects will live in this framework project. Anywhere we implement graphical components, they will be displayed with a generic design and will be derivable for further customization.
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  • 23
    CommandLineUtils

    CommandLineUtils

    Command line parsing and utilities for .NET

    CommandLineUtils is a library that helps developers implement command line applications in .NET. The primary goal of the library is to assist with parsing command line arguments and executing the correct commands related to those arguments. The library also provides various other utilities such as input helpers. This project helps you create command line applications using .NET. It simplifies parsing arguments provided on the command line, validating user inputs, and generating help text...
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  • 24
    T81 558

    T81 558

    Applications of Deep Neural Networks

    Deep learning is a group of exciting new technologies for neural networks. Through a combination of advanced training techniques and neural network architectural components, it is now possible to create neural networks that can handle tabular data, images, text, and audio as both input and output. Deep learning allows a neural network to learn hierarchies of information in a way that is like the function of the human brain. This course will introduce the student to classic neural network...
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  • 25
    carbon CLI

    carbon CLI

    Beautiful images of your code, from right inside your terminal

    .... Downloads the real, high-quality image (no DOM screenshots). Detects file type automatically. Supports all file extensions supported by carbon.now.sh and more. Create and share beautiful images of your source code. Start typing or drop a file into the text area to get started. Displays image directly in supported terminals. Reports each step and therefore shortens the wait.
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