Tools tagged with "ONNX"

Transformers.js is a JavaScript library for developers building web apps that run AI models on the user's device. Inference happens in the browser, so an app doesn't need a separate model server to process its inputs. The library is open source under Apache 2.0.

Wyoming Faster Whisper is a local speech-to-text server for Home Assistant and other clients that use the Wyoming protocol. It turns spoken audio into text on your own hardware, with support for names specific to your home. It's open source under the MIT license and runs as a Home Assistant add-on, a Docker container, or a local Python service.

Semantic Kernel is an MIT-licensed SDK for developers adding AI agents to their applications. It supports local models through Ollama, LMStudio and ONNX, alongside cloud services such as OpenAI and Azure OpenAI. You choose the model backend. The SDK runs on Windows, macOS and Linux and supports C#, Python and Java.

python-audio-separator separates recordings into vocals, instrumentals and individual instruments on your own hardware. It's an open-source Python package under the MIT license, aimed at karaoke creators and developers who want audio separation in scripts or their own applications.

PocketPal AI is an open source assistant for people who want to run language models on a phone or tablet. It works on iOS, iPadOS and Android. Once you've downloaded a model, you can chat offline without an account, and your prompts, replies and documents stay on your device. The app is licensed under MIT.

PDFMathTranslate translates scientific PDFs while keeping their page layout, formulas, charts, contents pages and annotations. It's for researchers, students and others who need to read papers in another language without losing the relationship between the text and its figures. It produces both translated PDFs and bilingual documents for comparison with the original.

Lemonade is an open source local AI server for people who want to use models on their own hardware or connect them to apps and agents. It handles chat, coding, image generation, speech, transcription, and embeddings. A built-in interface lets you use those capabilities directly, while its server makes them available to other software.

Netron displays neural network and machine learning models as visual graphs. Developers and researchers can inspect a model's structure through desktop apps for macOS, Windows and Linux, or through the browser viewer at netron.app.

chaiNNer is a desktop image processing editor for people who want AI upscaling and repeatable editing workflows without writing scripts. It runs models locally on Windows, macOS, and Linux. Connected nodes let you combine model processing with ordinary image edits in the same workflow.

OpenVINO is an Apache 2.0 licensed toolkit for developers who want to run AI models locally or serve them on their own infrastructure. It converts and optimizes models for inference, with support for x86 and ARM CPUs, Intel integrated and discrete GPUs, and Intel NPUs. Its runtime works on Linux, Windows and macOS.

FastEmbed is a Python library that generates embeddings on your own hardware for semantic search and retrieval-augmented generation (RAG). It's for developers who need to turn text into searchable vectors without relying on a cloud embedding API. It can run on a CPU or use GPU acceleration, and its Apache 2.0 license makes it open source.

PaddleOCR is an open source OCR and document parsing toolkit for developers building document search, RAG systems and AI agents. It runs on your own hardware or a self-hosted server and turns PDFs and images into structured Markdown or JSON. The Python toolkit uses PaddlePaddle and carries the Apache 2.0 license.

Ultralytics YOLO is an open-source Python computer vision library for developers building applications that analyze images and video on their own hardware. It supports local and edge deployment, including NVIDIA Jetson, Raspberry Pi and mobile phones. A separate hosted platform provides browser-based annotation, cloud GPU training and managed prediction endpoints.

KServe is an open source platform for teams serving LLMs and predictive machine learning models on their own Kubernetes infrastructure. It puts both kinds of workloads under a common serving API, so teams can manage different model frameworks through the same platform. It uses the Apache 2.0 license.

Sentence Transformers is an open-source Python library for developers building semantic search and document retrieval on their own hardware. It runs embedding and reranker models locally, turning content into numerical representations for similarity comparisons and scoring results against a query. The library uses the Apache 2.0 license.

Candle is a Rust machine learning framework for developers who want to embed local AI in applications or deploy models on their own servers. It produces lightweight binaries that don't need Python in production, making it a candidate for serverless inference where a large runtime can slow startup. Its API uses tensor operations familiar to PyTorch developers.

Infinity Embeddings is a self-hosted server for developers building semantic search and retrieval-augmented generation applications. It runs embedding and reranking models on your own hardware, with support for image and audio search alongside text. It's open source under MIT.

PixlStash is an open-source image manager for photographers, AI creators and people curating image datasets. It combines library search with tools for reviewing tags, ranking images and sending selected work through ComfyUI. You can use a desktop app or a self-hosted server with a browser interface.