A3S Power — Privacy-preserving LLM inference for TEE environments
Allocation profiling and Linux memory telemetry for Rust services.
Deterministic reservoir sampling for Rust
wgpu-backed Dispatcher impl for engawa render graphs. Compiles Material → wgpu::RenderPipeline; walks the compiled graph; dispatches fullscreen-effect passes against any wgpu::TextureView (most commonly a garasu::HeadlessTarget for tests + a winit surface for live).
Vulkan API bindings generated entirely from vk.xml, with a complete safe RAII wrapper covering compute and graphics: instance/device/queue, buffer, image, sampler, render pass, framebuffer, graphics + compute pipelines, swapchain, a VMA-style sub-allocator with TLSF + linear pools and defragmentation, sync primitives (fences, binary + timeline semaphores, sync2 barriers), query pools, and optional GLSL/WGSL/HLSL→SPIR-V compilation via naga or shaderc. Supports Vulkan 1.2.175 onward — swap vk.xml and rebuild.
Tantale is a Rust library for Automated Machine Learning (AutoML) focusing on Hyperparameter Optimization and Neural Architecture Search. It provides a modular and extensible framework for defining search spaces, objectives, and optimization algorithms, with support for distributed computing and parallel execution.
Tantale is a Rust library for Automated Machine Learning (AutoML) focusing on Hyperparameter Optimization and Neural Architecture Search. It provides a modular and extensible framework for defining search spaces, objectives, and optimization algorithms, with support for distributed computing and parallel execution.
Tantale is a Rust library for Automated Machine Learning (AutoML) focusing on Hyperparameter Optimization and Neural Architecture Search. It provides a modular and extensible framework for defining search spaces, objectives, and optimization algorithms, with support for distributed computing and parallel execution.
Tantale is a Rust library for Automated Machine Learning (AutoML) focusing on Hyperparameter Optimization and Neural Architecture Search. It provides a modular and extensible framework for defining search spaces, objectives, and optimization algorithms, with support for distributed computing and parallel execution.
Tantale is a Rust library for Automated Machine Learning (AutoML) focusing on Hyperparameter Optimization and Neural Architecture Search. It provides a modular and extensible framework for defining search spaces, objectives, and optimization algorithms, with support for distributed computing and parallel execution.
Tantale is a Rust library for Automated Machine Learning (AutoML) focusing on Hyperparameter Optimization and Neural Architecture Search. It provides a modular and extensible framework for defining search spaces, objectives, and optimization algorithms, with support for distributed computing and parallel execution.
Tantale is a Rust library for Automated Machine Learning (AutoML) focusing on Hyperparameter Optimization and Neural Architecture Search. It provides a modular and extensible framework for defining search spaces, objectives, and optimization algorithms, with support for distributed computing and parallel execution.