Search Results for "website using python" - Page 22
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Showing 5250 open source projects for "website using python"
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ComfyUI SUPIR
SUPIR upscaling wrapper for ComfyUI
The ComfyUI-SUPIR project is a ComfyUI integration of the SUPIR model, which is designed for high-quality image restoration and super-resolution. It enables users to enhance low-resolution or degraded images using advanced diffusion-based techniques. The integration provides nodes that allow users to control parameters such as noise levels, guidance strength, and output quality. It is particularly useful for workflows that require upscaling or restoring images before further processing. The... -
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deepjazz
Deep learning driven jazz generation using Keras & Theano
deepjazz is a deep learning project that generates jazz music using recurrent neural networks trained on MIDI files. The repository demonstrates how machine learning can learn musical structure and produce original compositions. It uses the Keras and Theano libraries to build a two-layer Long Short-Term Memory network capable of learning temporal patterns in music. The system analyzes musical sequences from an input MIDI file and then generates new musical notes that follow similar stylistic... -
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Agentless
An agentless approach to automatically solve software development
Agentless is an open-source framework that applies large language models to automatically resolve software development issues without relying on complex autonomous agent systems. The project proposes an alternative approach to AI-driven code repair that avoids the overhead of multi-agent orchestration by using a structured pipeline for identifying and fixing bugs. When solving a problem, the system first performs localization to determine which files, functions, or code segments are most... -
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HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
HunyuanVideo is a cutting-edge framework designed for large-scale video generation, leveraging advanced AI techniques to synthesize videos from various inputs. It is implemented in PyTorch, providing pre-trained model weights and inference code for efficient deployment. The framework aims to push the boundaries of video generation quality, incorporating multiple innovative approaches to improve the realism and coherence of the generated content. Release of FP8 model weights to reduce GPU... -
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pandas-datareader
Extract data from a wide range of Internet sources
Up-to-date remote data access for pandas. Works for multiple versions of pandas. Install using pip and then import and use one of the data readers. This example reads 5-years of 10-year constant maturity yields on U.S. government bonds. Stable documentation is available on github.io. A second copy of the stable documentation is hosted on read the docs for more details. -
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Code-Graph-RAG
The ultimate RAG for your monorepo
Code-Graph-RAG is an advanced retrieval-augmented generation system designed specifically for understanding and interacting with large, multi-language codebases by transforming them into structured knowledge graphs. It uses Tree-sitter to parse source code into abstract syntax trees, extracting relationships between functions, classes, and modules to build a graph-based representation of the entire codebase. This structured approach enables more accurate and context-aware querying compared... -
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Browser Use
Make websites accessible for AI agents
Browser Use is an AI-powered browser automation framework designed to let agents interact with websites just like humans do. It enables developers and AI systems to perform complex online tasks such as form filling, data extraction, and navigation through natural language instructions. Built with Python and compatible with modern LLMs, it integrates seamlessly with tools like ChatBrowserUse, Google Gemini, and Anthropic models. The platform supports both open-source deployment and a fully... -
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Digital Earth Australia notebooks
Repository for Digital Earth Australia Jupyter Notebooks
...Browse our catalog of data products to find supporting information and ways to access the data. The Digital Earth Australia notebooks and tools repository (dea-notebooks) hosts Jupyter Notebooks, Python scripts and workflows for analyzing Digital Earth Australia (DEA) satellite data and derived products. This documentation is designed to provide a guide to getting started with DEA, and to showcase the wide range of geospatial analyses that can be achieved using DEA data and open-source software including Open Data Cube and xarray. -
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CTGAN
Conditional GAN for generating synthetic tabular data
CTGAN is a collection of Deep Learning based synthetic data generators for single table data, which are able to learn from real data and generate synthetic data with high fidelity. If you're just getting started with synthetic data, we recommend installing the SDV library which provides user-friendly APIs for accessing CTGAN. The SDV library provides wrappers for preprocessing your data as well as additional usability features like constraints. When using the CTGAN library directly, you may... -
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jQuery Terminal
JavaScript library for creating web-based terminals
jQuery Terminal is a JavaScript library for creating command-line interpreters in your applications. You can use this JavaScript Terminal library to create interactive web-based terminal applications on your website. Where commands are defined by you. You can define them on the server or in the browser's JavaScript. It can automatically call JSON-RPC service when the user types a command. Alternatively, you can provide an object with methods; each method will be invoked on the user's command (the python command can create python interpreter). ... -
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ComfyUI-HunyuanVideoWrapper
ComfyUI wrapper nodes for HunyuanVideo
The ComfyUI-HunyuanVideoWrapper project is a ComfyUI extension that integrates Hunyuan-based multimodal video generation models into node-based workflows. It allows users to generate or manipulate video content by combining text prompts with one or more input images, enabling flexible conditioning of outputs. The system introduces specialized nodes such as text-image encoders that allow multiple image inputs to be referenced directly within prompts. This makes it possible to guide generation... -
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Deequ
Deequ is a library built on top of Apache Spark
Deequ is a library built atop Apache Spark that enables defining “unit tests for data” — that is, formal constraints or checks on datasets to ensure data quality along dimensions such as completeness, uniqueness, value ranges, correlations, etc. It can scale to large datasets (billions of rows) by translating those data checks into Spark jobs. Deequ supports advanced features like a metrics repository for storing computed statistics over time, anomaly detection of data quality metrics, and... -
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ContextGem
ContextGem: Effortless LLM extraction from documents
ContextGem is an open-source framework designed to simplify the extraction of structured data and insights from documents using large language models (LLMs). It provides a flexible, intuitive API that minimizes boilerplate code, enabling developers to build complex extraction workflows efficiently. ContextGem supports various document formats and integrates with multiple LLM providers, making it a versatile tool for tasks like contract analysis, anomaly detection, and information retrieval. -
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Doks
Everything you need to build a stellar documentation website
Doks is a lightweight documentation generator built on Hugo, a fast static site generator. It is designed to help developers create well-structured, user-friendly documentation sites with modern UI components and performance optimizations. -
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AWS Toolkit for Visual Studio Code
Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.
...It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript. -
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Darts
A python library for easy manipulation and forecasting of time series
...The ML-based models can be trained on potentially large datasets containing multiple time series, and some of the models offer a rich support for probabilistic forecasting. We recommend to first setup a clean Python environment for your project with at least Python 3.7 using your favorite tool (conda, venv, virtualenv with or without virtualenvwrapper). -
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SageMaker Spark Container
Docker image used to run data processing workloads
...The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker. -
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Writer Framework
No-code in the front, Python in the back. An open-source framework
Writer Framework is an open source platform designed to help developers build AI-powered applications by combining a visual interface builder with a Python-based backend architecture. It follows a hybrid approach where user interfaces are created using a drag-and-drop editor while business logic is implemented in Python, allowing teams to balance speed and flexibility without sacrificing control. The framework is particularly focused on AI use cases, enabling developers to integrate large language models, knowledge graphs, and custom machine learning workflows into user-facing applications. ... -
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Barfi
A Python visual Flow Based Programming library
A Python visual Flow-Based Programming library that integrates into your existing workflow. Barfi is a Flow-Based Programming environment that provides a graphical programming interface. It is integratable into your existing Python workflows. A schema is built using barfi.Blocks. Then the schema is executed with barfi.ComputeEngine. Each barfi.Block has some properties that enable the FBP and schema building. -
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PyLivestream
Pure Python FFmpeg-based live video / audio streaming to YouTube
PyLivestream is a Python-based tool that enables real-time video streaming from various input sources to platforms such as YouTube and Twitch. It acts as a wrapper around FFmpeg, allowing users to stream video from cameras, files, or screen capture devices with minimal configuration. The tool supports cross-platform operation and integrates easily into Python workflows, making it suitable for automation and scripting. -
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Django Postgres Extra
Bringing all of PostgreSQL's awesomeness to Django
django-postgres-extra is a Django extension that enhances PostgreSQL support by adding advanced features like native upserts, materialized view support, and better constraint handling. It improves developer productivity by exposing PostgreSQL-specific capabilities in a Django-friendly way while maintaining ORM consistency. -
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OnionShare
Securely and anonymously share files of any size
OnionShare is an open source tool that allows you to securely and anonymously share files of any size, host websites, and chat with friends using the Tor network. There's no need for middlemen that could very well violate the privacy and security of the things you share online. With OnionShare, you can share files directly with just an address in Tor Browser. OnionShare works because it is accessible as a Tor Onion Service. All you need to do is open it and drag and drop the files you... -
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Intelligent stock analysis system
LLM-driven A/H/US stock intelligent analyzer
...The system supports scheduled execution using GitHub Actions, enabling fully automated daily analysis and multi-channel notifications via platforms like Telegram, Enterprise WeChat, Feishu, email, and push services. Under the hood, it integrates multiple AI models (like Gemini and OpenAI-compatible models) and diverse market data sources (including AkShare, Tushare, and YFinance) to synthesize comprehensive reports. -
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The Missing Semester
The Missing Semester of Your CS Education
The Missing Semester is a course and repository that teaches the engineering skills often skipped in traditional computer science curricula: command-line fluency, shell scripting, editors, version control, debugging, data wrangling, and automation. It includes lecture notes, exercises, and sample solutions that encourage hands-on practice rather than passive reading. The curriculum demystifies tools like bash, vim, git, and make, showing how to combine them into efficient workflows that... -
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Generative AI for Beginners (Version 3)
21 Lessons, Get Started Building with Generative AI
Generative AI for Beginners is a 21-lesson course by Microsoft Cloud Advocates that teaches the fundamentals of building generative AI applications in a practical, project-oriented way. Lessons are split into “Learn” modules for core concepts and “Build” modules with hands-on code in Python and TypeScript, so you can jump in at any point that matches your goals. The course covers everything from model selection, prompt engineering, and chat/text/image app patterns to secure development practices and UX for AI. It also walks through modern application techniques such as function calling, RAG with vector databases, working with open source models, agents, fine-tuning, and using SLMs. ...
