Vast.ai is a cloud GPU rental platform for AI, machine learning, deep learning and rendering workloads. Prices are set by supply and demand across 40+ data centers, with on-demand, interruptible and reserved instance types and per-second billing. Deployment is available through console, CLI, SDK and REST API.
LLMKube
LLMKube is a Kubernetes operator for self-hosted large language model inference across heterogeneous GPU fleets supporting NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. It supports runtimes including llama.cpp, vLLM, TGI, and mlx-server, offers multi-GPU sharding, model caching, and OpenAI-compatible endpoints. It is licensed under Apache-2.0 and designed for homelab and on-prem fleet deployment, and is actively developed.
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0Vast.ai is a cloud GPU rental platform for AI, machine learning, deep learning and rendering workloads. Prices are set by supply and demand across 40+ data centers, with on-demand, interruptible and reserved instance types and per-second billing. Deployment is available through console, CLI, SDK and REST API.
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Personal site of Sean J. Taylor, who describes himself as a data scientist, social scientist, statistician, and software developer. It links to his background, videos and podcasts, and writing on data science, social science, experimentation and statistics, forecasting, and software. The page also notes he is a co-founder and chief scientist at Motif Analytics.
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0RegexAI is a free online tool for testing regular expressions with live matching. It also builds new patterns from plain-English descriptions of what the user wants to match, according to the site. No signup is required.
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0Cleanup.pictures is a web tool for removing unwanted objects, people, text and defects from pictures for free. It also describes use cases for product and real estate photos, and lists a free tier limited to 720p resolution plus paid Pro and API plans.
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mlpack is a header-only C++ machine learning library with bindings to Python, Julia, R, Go, and the command line. It is built on Armadillo, ensmallen, and cereal and provides implementations of machine learning algorithms. The documentation lists classification, regression, clustering, and preprocessing facilities. It is open source under the 3-clause BSD license.
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0Magic Loops combines LLMs and code to create simple automations. It is presented as a no-code, all-code platform for building apps without coding. Paid plans are billed at $1 USD per 1000 credits, and a free tier offers 8,000 credits.
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