Search Results for "python text parser" - Page 23
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Showing 1643 open source projects for "python text parser"
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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EpiDoc: Epigraphic Documents in TEI XML
XML text markup for ancient documents
The EpiDoc Collaborative is developing specifications and tools for standards-based, digital publication and interchange of scholarly and educational editions of documentary and literary texts like inscriptions and papyri. The link below will take you to the EpiDoc home page on this site. -
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BERTScore
BERT score for text generation
Automatic Evaluation Metric described in the paper BERTScore: Evaluating Text Generation with BERT (ICLR 2020). We now support about 130 models (see this spreadsheet for their correlations with human evaluation). Currently, the best model is Microsoft/debate-large-online, please consider using it instead of the default roberta-large in order to have the best correlation with human evaluation. -
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werpy
Python package for fast Word Error Rate (WER) calculation and analysis
Werpy is a robust yet lightweight Python package, engineered to swiftly compute and analyzes the Word Error Rate (WER) between two text sets. It boasts versatility in managing various types of input data, including strings, lists, and numpy arrays. The library encompasses an extensive array of functionalities, encompassing text normalization to accommodate discrepancies in data collection. -
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Neomake
Asynchronous linting and make framework for Neovim/Vim
Neomake is an asynchronous linting and build framework for Vim and Neovim that predates and inspires newer tooling in this space. It runs “makers” (linters, compilers, format checkers, test commands) in the background and surfaces results as signs, virtual text, or via quickfix/location lists. The system is highly configurable: you can define per-filetype makers, chain multiple tools, and control when they run (on save, on write, on cursor hold, or manually). Run several makers concurrently... -
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Amiga Memories
A walk along memory lane
Amiga Memories is a project (started & released in 2013) that aims to make video programmes that can be published on the internet. The images and sound produced by Amiga Memories are 100% automatically generated. The generator itself is implemented in Squirrel, the 3D rendering is done on GameStart 3D. An Amiga Memories video is mostly based on a narrative. The purpose of the script is to define the spoken and written content. The spoken text will be read by a voice synthesizer (Text To... -
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Quote2Image
A Python library for turning text quotes into graphical images
A Python library for turning text quotes into graphical images. Generate an image using RGB background and foreground. The package comes with a built-in GenerateColors function that generates a fg and bg color with the correct amount of luminosity and returns them in tuples. Generate an image using a custom background image. The package comes with a builtin GenerateColors function that generates a fg and bg color with the correct amount of luminosity and returns them in tuples. ... -
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Gester
A game engine for console based text games
Gester is a game engine for console based text game. You make text based games easily using Gester. These games can be played by using the 'gest' command. The 'gest' command will invoke the game engine which will read the game script file (.gest file) and present the game on the command line Install Gester using pip: "pip install gester" See our PyPI page for more details: https://pypi.org/project/gester -
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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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NÜWA - Pytorch
Implementation of NÜWA, attention network for text to video synthesis
Implementation of NÜWA, state of the art attention network for text-to-video synthesis, in Pytorch. It also contains an extension into video and audio generation, using a dual decoder approach. It seems as though a diffusion-based method has taken the new throne for SOTA. However, I will continue on with NUWA, extending it to use multi-headed codes + hierarchical causal transformer. I think that direction is untapped for improving on this line of work. In the paper, they also present a way... -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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Argh
Rust derive-based argument parsing optimized for code size
argh is a tiny, pragmatic command-line argument parsing library that favors simple, readable code over elaborate configuration. It’s designed for the case where you just want to declare a few flags, accept some positional arguments, and print helpful usage text without wiring up a heavy framework. The API is intentionally compact so you can parse arguments inline near main() and map them straight into native types. It supports short and long options, boolean switches, and key–value flags... -
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DataMelt
Computation and Visualization environment
DataMelt (or "DMelt") is an environment for numeric computation, data analysis, computational statistics, and data visualization. This Java multiplatform program is integrated with several scripting languages such as Jython (Python), Groovy, JRuby, BeanShell. DMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear... -
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o'scopepy
Oscilloscope using PC sound card and Python 3
Version 6 uses a programming paradigm based on workcells which communicate with each other using text based signals. This creates a parallel programming environment with autonomous virtual machines communicating over a peer to peer network. The workcells are instantiated anonymously, therefore all methods and variables are completely private. Tkinter is used for both GUIs and for creating a second event loop used for synchronizing workcell to workcell communication. Three classes, Hub,... -
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TextBox
A text generation library with pre-trained language models github.com
TextBox 2.0 is an up-to-date text generation library based on Python and PyTorch focusing on building a unified and standardized pipeline for applying pre-trained language models to text generation. From a task perspective, we consider 13 common text generation tasks such as translation, story generation, and style transfer, and their corresponding 83 widely-used datasets. -
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The CSS Parser is implemented as a package of Java classes, that inputs Cascading Style Sheets source text and outputs a Document Object Model Level 2 Style tree. Alternatively, applications can use SAC: The Simple API for CSS. Its purpose is to allow developers working with Java to incorporate Cascading Style Sheet information, primarily in conjunction with XML application developments.
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Automatic text summarizer
Module for automatic summarization of text documents and HTML pages
Sumy is an automatic text summarization library that provides multiple algorithms for extracting key content from documents and articles. Simple library and command line utility for extracting summary from HTML pages or plain texts. The package also contains a simple evaluation framework for text summaries. Implemented summarization methods are described in the documentation. I also maintain a list of alternative implementations of the summarizers in various programming languages. -
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Point-E
Point cloud diffusion for 3D model synthesis
point-e is the official repository for Point-E, a generative model developed by OpenAI that produces 3D point clouds from textual (or image) prompts. Its principal advantage is speed: it can generate 3D assets in just 1–2 minutes on a single GPU, which is significantly faster than many competing text-to-3D models. The model works via a two-stage diffusion approach: first, it uses a text → image diffusion network to produce a synthetic 2D view consistent with the prompt; then a second... -
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Minimal text diffusion
A minimal implementation of diffusion models for text generation
A minimal implementation of diffusion models of text: learns a diffusion model of a given text corpus, allowing to generate text samples from the learned model. The main idea was to retain just enough code to allow training a simple diffusion model and generating samples, remove image-related terms, and make it easier to use. To train a model, run scripts/train.sh. By default, this will train a model on the simple corpus. However, you can change this to any text file using the --train_data... -
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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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SPyQL
Query data on the command line with SQL-like SELECTs powered by Python
SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. -
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Hydrogen
Run code interactively, inspect data, and plot
Hydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Hydrogen was inspired by Bret Victor's ideas about the power of instantaneous feedback and the design of Light Table. Running code inline and in real-time is a more natural way to develop. By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project –... -
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Auto-Typer
Hooks your keys to only type the thing you selected
Hooks your keys to only type the thing you selected. Run the command line script. Enter the number of times to repeat the text. Enter wherever to reverse the text or not. Enter what characters the text should contain (Enter for everything). Enter what characters the text should begin with (Enter for everything). Press Windows Shift S and select the area of the text. Press Enter to detect the text. Wait until the program displays the text. Press Enter to start typing. Then start typing, the... -
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Karlo
Text-conditional image generation model based on OpenAI's unCLIP
Karlo is a text-conditional image generation model based on OpenAI's unCLIP architecture with the improvement over the standard super-resolution model from 64px to 256px, recovering high-frequency details only in the small number of denoising steps. We train all components from scratch on 115M image-text pairs including COYO-100M, CC3M, and CC12M. In the case of Prior and Decoder, we use ViT-L/14 provided by OpenAI’s CLIP repository. Unlike the original implementation of unCLIP, we... -
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Repeat
Mouse/keyboard record/replay and automation hotkeys/macros creation
Full-fledged mouse/keyboard record/replay and automation hotkeys/macros creation using modern programming languages, and more advanced automation features. Working across three major OSes: Windows, OSX, and Linux. See more at https://github.com/repeats/Repeat Repeat yourself with some intelligence. This, if used correctly, can improve your productivity greatly. -
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truckLog
Create and print a log for delivery stops.
New Version For Python 3 **This program requires a web server (such as Apache) and python3.x. ** TruckLog will generate a printable log that will show a line by line list of delivery stops to be made for any one truck load with space provided for signatures. Any amount of logs can be made for each day. The lines can be deleted or moved singly or in groups. -
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