Search Results for "convert" - Page 9
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Showing 2036 open source projects for "convert"
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1
GitHub Markup
Determines which markup library to use to render a content file
This library is the first step of a journey that every markup file in a repository goes on before it is rendered on GitHub.com. GitHub-markup selects an underlying library to convert the raw markup to HTML. See the list of supported markup formats provided. The HTML is sanitized, aggressively removing things that could harm you and your kin—such as script tags, inline-styles, and class or id attributes. Syntax highlighting is performed on code blocks. See github/linguist for more information about syntax highlighting. ... -
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pix2pixHD
Synthesizing and manipulating 2048x1024 images with conditional GANs
pix2pixHD is a PyTorch-based implementation of a conditional generative adversarial network designed for high-resolution image-to-image translation, capable of producing photorealistic outputs at resolutions up to 2048×1024. It is widely used to convert structured inputs such as semantic label maps into realistic images, making it particularly valuable in applications like autonomous driving simulation, face synthesis, and scene generation. The model improves upon earlier GAN approaches by introducing multi-scale generators and discriminators that enable stable training and fine detail generation at large resolutions. ... -
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Stanza
Stanford NLP Python library for many human languages
...Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism. ... -
4
Toapi
Convert websites into structured APIs automatically with Python tool
Toapi is a Python library designed to transform ordinary websites into usable API services. Instead of building a traditional web crawler that collects and stores data before exposing it through an API, Toapi simplifies the process by allowing developers to define data structures that automatically generate an API layer from existing web pages. It works by parsing HTML content from a source site and mapping selected elements into structured data that can be returned as JSON through API... -
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BuildingAI
Build your own AI application system for free
BuildingAI is an open-source project focused on applying artificial intelligence techniques to architectural design and building information modeling workflows. The platform aims to bridge the gap between natural language interfaces and building design tools by allowing AI systems to interpret user instructions and convert them into structured architectural operations. By combining generative AI capabilities with building data models, the system can assist with tasks such as design generation, spatial reasoning, and building component creation. The project is intended for architects, engineers, and developers exploring how AI can automate or augment design workflows in the architecture, engineering, and construction industries. ... -
6
mllm
Fast Multimodal LLM on Mobile Devices
...The system supports multiple optimization techniques including quantization, pruning, and speculative decoding to improve performance while reducing computational overhead. It also provides tools to convert models from popular formats like PyTorch checkpoints into optimized runtime formats that can be executed on supported hardware platforms. -
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NExT-GPT
Code and models for ICML 2024 paper, NExT-GPT
...The system connects a large language model with multimodal encoders and diffusion-based decoders so it can interpret information from different sensory formats and generate responses in different media types. This architecture allows the model to convert between modalities, such as generating images from text descriptions or producing audio or video outputs based on textual prompts. The project also introduces instruction-tuning strategies that enable the model to perform complex multimodal reasoning and generation tasks with minimal additional parameters. -
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claude-code-transcripts
Tools for publishing transcripts for Claude Code sessions
claude-code-transcripts is a command-line utility that takes session files exported from Claude Code (in JSON or JSONL format) and turns them into clean, navigable HTML transcripts that can be viewed in any modern web browser. It is designed to make the often dense and verbose outputs from AI coding sessions easier to read, share, and archive by breaking conversations into paginated, annotated pages with navigable timelines of prompts and responses. Users can run this tool locally or fetch... -
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Guide to Technical Interviews
Guided collection and roadmap for preparing technical interviews
...Because interviews blend knowledge, strategy and habits (e.g., whiteboarding, communication, trade-off reasoning), the repository also emphasizes preparation workflows rather than just raw practice. It is therefore, an excellent companion for developers who have the technical skill and now need to convert it into interview readiness. -
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see
Visualisation toolbox for beautiful and publication-ready figures
see is an R package that serves as the visualization component of the easystats ecosystem, providing plotting utilities to produce publication-ready visualizations of statistical model parameters, diagnostics, predictions, and performance metrics. It works in conjunction with other easystats packages (such as parameters, performance, modelbased, bayestestR, etc.) to convert model outputs or summary objects into visual forms (dot-and-whisker plots, diagnostic plots, residual plots, etc.). It includes themes, scales, geoms for ggplot2, and custom color palettes to make visual summaries more informative and attractive. -
11
fast_float
Implementation of the C++ from_chars functions for number types
The fast_float library provides fast header-only implementations for the C++ from_chars functions for float and double types as well as integer types. These functions convert ASCII strings representing decimal values (e.g., 1.3e10) into binary types. We provide exact rounding (including round to even). In our experience, these fast_float functions many times faster than comparable number-parsing functions from existing C++ standard libraries. It parses the character sequence [first,last) for a number. ... -
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Pipy
Pipy is a programmable proxy for the cloud, edge and IoT
Pipy is a high performance programmable proxy for the cloud, edge and IoT. Its core is written in C++ with excellent cross-platform capability. It is both high performance and low resource. Pipy comes with a built-in JavaScript engine that allows easy custom logic implementation with the simple JS syntax, greatly reducing the complexity in high-performance network programming. It is suitable for a variety of hardware architectures including x86, ARM64, Loongson and RISC-V. It is also... -
13
dhall-haskell
Maintainable configuration files
Maintainable configuration files. Navigate to each package's directory for their respective READMEs. You can download pre-built binaries for Windows, OS X and Linux on the release page. You can then click the "Help" button in the bottom right corner, which will show you a nix-env command that you can run to install the prebuilt executable. You will probably want to use the shared caches hosted at cache.dhall-lang.org and dhall.cachix.org when doing Nix development. This is not required, but... -
14
GraphQL Mesh
GraphQL Mesh — Query anything, run anywhere
GraphQL Mesh allows you to use GraphQL query language to access data in remote APIs that don't run GraphQL (and also ones that do run GraphQL). It can be used as a gateway to other services or run as a local GraphQL schema that aggregates data from remote APIs. The goal of GraphQL Mesh is to let developers easily access services that are written in other APIs specs (such as gRPC, OpenAPI/Swagger, OData, SOAP/WSDL, Apache Thrift, Mongoose, PostgreSQL, Neo4j, and also GraphQL) with GraphQL... -
15
react-docgen
A CLI and toolbox to extract information from React component files
...It provides a default implementation for React components defined via React.createClass, ES2015 class definitions or functions (stateless components). These component definitions must follow certain guidelines in order to be analyzable. Installing the module adds a react-docgen executable which allows you to convert a single file, multiple files or an input stream. We are trying to make the executable as versatile as possible so that it can be integrated into many workflows. By default, react-docgen will look for the exported component created through React.createClass, a class definition or a function (stateless component) in each file. -
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OpenVINO Training Extensions
Trainable models and NN optimization tools
OpenVINO™ Training Extensions provide a convenient environment to train Deep Learning models and convert them using the OpenVINO™ toolkit for optimized inference. When ote_cli is installed in the virtual environment, you can use the ote command line interface to perform various actions for templates related to the chosen task type, such as running, training, evaluating, exporting, etc. ote train trains a model (a particular model template) on a dataset and saves results in two files. ote optimize optimizes a pre-trained model using NNCF or POT depending on the model format. ... -
17
tf2onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
tf2onnx converts TensorFlow (tf-1.x or tf-2.x), keras, tensorflow.js and tflite models to ONNX via command line or python API. Note: tensorflow.js support was just added. While we tested it with many tfjs models from tfhub, it should be considered experimental. TensorFlow has many more ops than ONNX and occasionally mapping a model to ONNX creates issues. tf2onnx will use the ONNX version installed on your system and installs the latest ONNX version if none is found. We support and test ONNX... -
18
Gotenberg
A Docker-powered stateless API for PDF files
Gotenberg provides a developer-friendly API to interact with powerful tools like Chromium and LibreOffice for converting numerous document formats (HTML, Markdown, Word, Excel, etc.) into PDF files, and more! Thanks to Docker, you don't have to install each tool in your environments; drop the Docker image in your stack, and you're good to go! The webhook feature allows you to upload the output file to the destination of your choice. There are many options to fit your requirements, from the... -
19
CssSelector Component
Converts CSS selectors to XPath expressions
XPath expressions are incredibly flexible, so there is almost always an XPath expression that will find the element you need. Unfortunately, they can also become very complicated, and the learning curve is steep. Even common operations (such as finding an element with a particular class) can require long and unwieldy expressions. CSS selectors are less powerful than XPath, but far easier to write, read and understand. Since they are less powerful, almost all CSS selectors can be converted to... -
20
Pixiv Toolkit
A web extension for Pixiv
...There is a layer with a arrow will appear at the center bottom of the page if the page has available content. Click the arrow to active the action panel, then enjoy. You can use this extension to convert the ugoira on Pixiv to GIF or WebM file, or pack the images of manga to download or save the novel as epub. You can also download images from Pixiv Comic and Pixiv Fanbox (Notice: You need to have access to the post or comic you want to download in order to download the resource). -
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Parser for Rust source code
Parser for Rust source code
Parser for Rust source code is a major Rust crate for parsing Rust source code (token streams) into a syntax tree (AST) that procedural macros can inspect or transform. The primary target is macro authors: you can parse TokenStreams into syn::File, syn::Item, syn::Expr, syn::Type, etc. It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only... -
22
Anyhow
Flexible concrete Error type built on std::error::Error
...Its primary goal is to make error handling in applications easy: instead of defining lots of custom error types, you can use anyhow::Error (or the alias anyhow::Result<T>) for fallible functions. The crate supports attaching context to errors, so you can convert a low-level error (like “file not found”) into one with richer diagnostics (“Failed to read instructions from path X”) using .context() or .with_context(). It supports downcasting (so you can inspect the underlying error type), and for recent versions of Rust, it will capture backtraces by default when the underlying error type doesn’t already. ... -
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LLM Datasets
Curated list of datasets and tools for post-training
LLM Datasets curates and standardizes datasets commonly used to train and fine-tune large language models, reducing the overhead of hunting down sources and normalizing formats. The repository aims to make datasets easy to inspect and transform, with scripts for downloading, deduping, cleaning, and converting to formats like JSONL that slot into training pipelines. It highlights instruction-tuning and conversation-style corpora while also pointing to code, math, or domain-specific sets for... -
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Doctor Dok
Doctor Dok is an AI based medical data framework
Store, manage, and understand your medical history in one secure place that only you can access. Built to protect your privacy with full end-to-end encryption. Convert all your Blood Tests, MRI Scans, TK Scans, Visit reports, and Hospital Admission Reports to JSON, safely store in the cloud, and discuss, annotate, and translate them with AI. Doctor Dok is a secure storage, digitization, sharing, and AI discovery platform for all your family and/or folder health data. All health history - digitalized - accessible anywhere from Mobile or Desktop. ... -
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Emogrifier
Converts CSS styles into inline style attributes in your HTML code
Emogrifier converts CSS styles into inline style attributes in your HTML code. This ensures proper display on email and mobile device readers that lack stylesheet support. This utility was developed as part of Intervals to deal with the problems posed by certain email clients (namely Outlook 2007 and GoogleMail) when it comes to the way they handle styling contained in HTML emails. As many web developers and designers already know, certain email clients are notorious for their lack of CSS...
