#python #asynchronous_programming #asyncio #deep_learning #deep_neural_networks #dht #distributed_systems #distributed_training #hivemind #mixture_of_experts #pytorch #volunteer_computing
https://github.com/learning-at-home/hivemind
https://github.com/learning-at-home/hivemind
GitHub
GitHub - learning-at-home/hivemind: Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across…
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world. - learning-at-home/hivemind
#python #api #ddgs #dht #mcp #mcp_server #metasearch #p2p #python #search #websearch
DDGS is a Python library (version 3.10+) for metasearch that pulls text, images, videos, news, and books from engines like Bing, DuckDuckGo, and Google. Install with `pip install ddgs`, use `DDGS().text("query")` for fast results, or run API/CLI servers for web access; optional DHT (Linux/macOS) shares anonymous caches to cut latency 90% and dodge rate limits. It benefits you by delivering quick, diverse, aggregated search data without single-engine restrictions or slow repeats—ideal for apps, scripts, or tools needing reliable info fast.
https://github.com/deedy5/ddgs
DDGS is a Python library (version 3.10+) for metasearch that pulls text, images, videos, news, and books from engines like Bing, DuckDuckGo, and Google. Install with `pip install ddgs`, use `DDGS().text("query")` for fast results, or run API/CLI servers for web access; optional DHT (Linux/macOS) shares anonymous caches to cut latency 90% and dodge rate limits. It benefits you by delivering quick, diverse, aggregated search data without single-engine restrictions or slow repeats—ideal for apps, scripts, or tools needing reliable info fast.
https://github.com/deedy5/ddgs
GitHub
GitHub - deedy5/ddgs: A metasearch library that aggregates results from diverse web search services
A metasearch library that aggregates results from diverse web search services - deedy5/ddgs