GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- pytorch
- gan
- deep-learning
- super-resolution
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Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
- esrgan
- pytorch
- real-esrgan
- super-resolution
An autonomous agent that conducts deep research on any data using any LLM providers
- ai
- python
- agent
- automation
🚀 自托管的抖音、TikTok、B 站数据采集与无水印视频下载 API，支持 AI agent 通过 MCP 调用与离线语音转文字，Docker 一键部署。| Self-hosted TikTok, Douyin & Bilibili scraper and no-watermark video downloader — async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.
Air-gapped, privacy-focused, open-source NotebookLM alternative. AI agent that researches, transforms, and edits your documents. Join our Discord: https://discord.gg/ejRNvftDp9
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
- mupdf
- xps
- pdf-documents
- epub
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
- python
- machine-learning
- natural-language-processing
- web-mining
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
- web-scraping
- text-extraction
- nlp
- html2text
The machine learning toolkit for time series analysis in Python
- time-series
- timeseries
- time-series-analysis
- time-series-clustering
POT : Python Optimal Transport
- optimal-transport
- numerical-optimization
- machine-learning
- emd
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
- tensors
- named-tensors
- shape
- pytorch
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
- bioimage-analysis
- cell-classification
- computer-vision
- digital-pathology