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Kaldi: kaldi-asr/kaldi is the official location of the Kaldi project. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Kaldi. This is an automatic list. We have not written a researched verdict for Kaldi yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Ultrafast serverless GPU inference, sandboxes, and background jobs
Beta9 is the open source runtime behind Beam, a serverless platform for running AI workloads on GPUs and CPUs without managing servers. Developers decorate ordinary Python functions to turn them into autoscaling inference endpoints, task queues or isolated sandboxes, then ship them with a single deploy command. The run...
A toolkit for making real world machine learning and data analysis applications in C++
Dlib is a modern C++ toolkit of machine learning algorithms and supporting tools for building complex software that solves real world problems. It is a mature, general purpose library rather than a hosted service: developers compile it into their own applications and get classical machine learning, deep learning, compu...
Go package for computer vision using OpenCV 4 and beyond.
This package gives programmers working in the Go language access to the OpenCV 4 computer vision library. It wraps OpenCV's image processing, object detection and deep neural network functionality in Go bindings, so a Go program can read video streams, analyze frames and run vision models without leaving the language f...
A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.
GPUStack is an AI infrastructure platform for deploying, managing and scaling large language models and GPU compute on hardware you control. It runs on premise, in the cloud or in hybrid setups, and presents one control plane for two jobs: model as a service for serving inference, and GPU as a service for handing out r...
A retargetable MLIR-based machine learning compiler and runtime toolkit.
IREE, short for Intermediate Representation Execution Environment, is an MLIR based compiler and runtime that lowers machine learning models to a unified intermediate representation. The same toolchain is meant to scale from datacenter workloads down to the constraints of mobile and edge deployments, with binary sizes ...
Run AI models locally on your machine with node.js bindings for llama.cpp.
This library provides Node.js bindings for llama.cpp, letting developers run large language models locally on their own machines from JavaScript and TypeScript. It works in Node.js, Bun and Electron, and a single command bootstraps a new project. It adapts to the available hardware automatically, with Metal, CUDA and ...