Scrape Google AI Mode responses without blocks on a large scale.
Fast ML inference & training for ONNX models in Rust
Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
AI Scraper is a powerful scraping tool and scrape agent built to automate data extraction with unmatched precision. Ideal for scalable AI scraping tasks across diverse web sources, this tool simplifies complex scraping operations into efficient, intelligent workflows.
Execute complex automation scripts via remote cloud sessions , featuring integrated residential proxies , automated CAPTCHA solving , and native JavaScript rendering for the toughest dynamic websites.
oneAPI Data Analytics Library (oneDAL)
Turn plain English queries into structured web data, featuring automated markdown extraction and full JavaScript rendering for dynamic websites.
oneAPI Collective Communications Library (oneCCL)
The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
GPU Cluster Monitoring (GCM): Large-Scale AI Research Cluster Monitoring
Easily download all of your favorite Naughty images from multiple sites.
This is a dataset intended to train a LLM model for a completely CVE focused input and output.
Vailabel Studio - a local-first desktop studio that labels your data with an offline AI copilot. Private by default. Windows, macOS, Linux.
Low VRAM SDXL Fine-Tuning Toolkit 2026: Train Full-Quality AI Models on 12GB GPUs
The 2026 VRAM-Smart Fine-Tuning Suite for SDXL and ANIMA on 12GB GPUs
Master AI prompting for business innovation. O'Reilly Live Learning course by Tim Warner covering ChatGPT, Claude, Copilot, and enterprise prompt engineering with MCP implementation.
Open Source Brain Platform | AI training and inference in Rust
A highly memory-efficient fine-tuning toolkit for SDXL and ANIMA, combining modern VRAM-saving techniques with custom optimizers to enable full-quality model training on GPUs with as little as 12 GB of VRAM.
Local-first AI citizens on your own hardware. Teams of continuously-learning personas (Rust core, llama.cpp fork, LoRA genomes) that collaborate, remember, dream, and improve on public benchmarks — on a MacBook. Not assistants you rent: minds you host.
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