Search Results for "ofn-extract-objects.py" - Page 4
Sort By:
Showing 1104 open source projects for "ofn-extract-objects.py"
View related business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
Auth for GenAI | Auth0Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
-
1
PDFIO.jl
PDF Reader Library for Native Julia.
PDFIO is a native Julia implementation for reading PDF files. It's a 100% Julia implementation of the PDF specification. Other than a few well-established algorithms like flate decode (zlib library) or cryptographic operations (OpenSSL library) almost all of the APIs are written in native Julia. PDF files are in existence for over three decades. Implementations of the PDF writers are not always to the specification or they may even vary significantly from vendor to vendor. Every time, you... -
2
alp
Access Log Profiler
alp is Access Log Profiler. -
3
Kor
LLM
This is a half-baked prototype that “helps” you extract structured data from text using LLMs. Specify the schema of what should be extracted and provide some examples. Kor will generate a prompt, send it to the specified LLM and parse out the output. You might even get results back. -
4
go-i18n
Translate your Go program into multiple languages
go-i18n is a Go package and a command that helps you translate Go programs into multiple languages. Supports pluralized strings for all 200+ languages in the Unicode Common Locale Data Repository (CLDR). Code and tests are automatically generated from CLDR data. Supports strings with named variables using text/template syntax. Supports message files of any format (e.g. JSON, TOML, YAML). Use goi18n extract to extract all i18n.Message struct literals in Go source files to a message file... -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
-
5
Ethereum ETL
Python scripts for ETL (extract, transform and load) jobs for Ethereum
Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery. Ethereum ETL lets you convert blockchain data into convenient formats like CSVs and relational databases. -
6
Portable Executable Parser
lightweight Go package to parse, analyze and extract metadata
Saferwall PE is a lightweight Go package for parsing, analyzing, and extracting metadata from Portable Executable (PE) binaries. Designed with malware analysis in mind, it is robust against malformed PE files and provides detailed insights into executable structures. -
7
Ksoup
Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML
Ksoup is a lightweight Kotlin Multiplatform library for parsing HTML, extracting HTML tags, attributes, and text, and encoding and decoding HTML entities. -
8
TikTok MCP
Model Context Protocol (MCP) with TikTok integration
The TikTok MCP integrates TikTok access into AI applications like Claude AI via TikNeuron. It enables analysis and interaction with TikTok content to determine virality factors and extract video content. -
9
AgentQL MCP
Model Context Protocol server that integrates AgentQL's data
The AgentQL MCP Server is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities, enabling users to extract structured data from web pages using natural language prompts. -
Build apps or websites quickly on a fully managed platformRun frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure.
-
10
npmhub
A browser extension to explore npm dependencies on GitHub
npmhub is a browser extension that enhances GitHub repositories by displaying a list of npm dependencies directly on the repository page. This makes it easier for developers to inspect a project's dependencies without navigating to external sites. -
11
Article Extractor
To extract main article from given URL with Node.js
A Node.js library for extracting main content from web articles, removing unnecessary clutter like ads and navigation elements. -
12
pdfly
CLI tool to extract (meta)data from PDF and manipulate PDF files
A Python library designed for manipulating PDF files with functionalities for extraction, transformation, and document generation. -
13
AWS Encryption SDK for Dafny
AWS Encryption SDK for Dafny
... the specification alongside this implementation. Refer to the specification for how to install duvet in order to generate reports. By default duvet_report will extract the spec only if it cannot find the compliance directory in the specification repo, but will re-use a previous extraction if it exists. -
14
dategrep
Print lines matching a time range
dategrep is a command-line utility designed to extract lines from log files that fall within a specified time range. It efficiently processes large log files by performing a binary search to locate the relevant entries, making it a valuable tool for system administrators and developers analyzing time-specific events. -
15
Dendrite
Tools to build web AI agents that can authenticate
Dendrite Python SDK is a toolkit for building web AI agents that can authenticate, interact with, and extract data from any website, facilitating web automation tasks. -
16
TorchDistill
A coding-free framework built on PyTorch
torchdistill (formerly kdkit) offers various state-of-the-art knowledge distillation methods and enables you to design (new) experiments simply by editing a declarative yaml config file instead of Python code. Even when you need to extract intermediate representations in teacher/student models, you will NOT need to reimplement the models, which often change the interface of the forward, but instead specify the module path(s) in the yaml file. In addition to knowledge distillation... -
17
JSONPath Plus
A fork of JSONPath
Analyse, transform, and selectively extract data from JSON documents (and JavaScript objects). JSON path-plus expands on the original specification to add some additional operators and makes explicit some behaviors the original did not spell out. Try the browser demo or Runkit (Node). -
18
Figma Sprite Generator
A Figma plugin to generate sprite sheets and JSON files from selected
Figma Sprite Generator is a Figma plugin designed to create sprite sheets and corresponding JSON metadata from selected icons. This tool is ideal for designers and developers working on web projects or UI libraries, as it automates sprite generation for more efficient workflows. Users can quickly convert their icons into PNG sprites and extract JSON files with icon dimensions and positions, streamlining the process of incorporating sprites into websites or applications. -
19
s6-overlay
s6 overlay for containers (includes execline, s6-linux-utils
s6-overlay is an easy-to-install (just extract a tarball or two!) set of scripts and utilities allowing you to use existing Docker images while using s6 as a pid 1 for your container and process supervisor for your services. -
20
fastdup
An unsupervised and free tool for image and video dataset analysis
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale. -
21
Rust Data Analysis
Rust for data analysis encyclopedia (WIP)
Welcome to the Rust Data Analysis repository! This collection of Jupyter notebooks provides a comprehensive exploration of data analysis using Rust. Powered by a Rust kernel, these notebooks allow you to dive deep into the realm of data analysis, leveraging the capabilities of the Rust programming language. With the help of various Rust libraries, such as ndarray, plotters, and more, you'll be able to extract valuable insights from different datasets with ease. -
22
imodelsX
Interpretable prompting and models for NLP
Interpretable prompting and models for NLP (using large language models). Generates a prompt that explains patterns in data (Official) Explain the difference between two distributions. Find a natural-language prompt using input-gradients. Fit a better linear model using an LLM to extract embeddings. Fit better decision trees using an LLM to expand features. Finetune a single linear layer on top of LLM embeddings. Use these just a like a sci-kit-learn model. During training, they fit better... -
23
Colly
Elegant Scraper and Crawler Framework for Golang
Colly provides a clean interface to write any kind of crawler/scraper/spider. With Colly you can easily extract structured data from websites, which can be used for a wide range of applications, like data mining, data processing or archiving. Clean API. Fast (>1k request/sec on a single core) Manages request delays and maximum concurrency per domain. Automatic cookie and session handling. Sync/async/parallel scraping. Distributed scraping. Caching, automatic encoding of non-unicode responses... -
24
Hugo Theme Stack
Card-style Hugo theme designed for bloggers
Card-style Hugo theme designed for bloggers. Stack is a simple card-style Hugo theme designed for bloggers, some of its features are responsive images support, lazy load images, dark mode, local search, PhotoSwipe integration, archive page template, full native JavaScript, and no jQuery or any other frameworks are used, no CSS framework, keep it simple and minimal, properly cropped thumbnails. Subsection support, table of contents, multilingual mode and RTL support. It's necessary to use... -
25
goober
A less than 1KB css-in-js solution
..., and anything really with the use of a theme. On the server, you can easily extract the CSS for the current state with extractCss. The initial thought of goober was a CSS-in-js solution at the cost of peanuts. Hence the peanuts emoji. By using goober, you are practically getting back space in size to build more of the needed features.
