Reverse Dependencies of onnxruntime
The following projects have a declared dependency on onnxruntime:
- inference-cpu — With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
- infernet-ml — Lightweight library to build web3 machine learning workflows
- innerverz — innerverz package
- instancelib-onnx — A wrapper for ONNX models that adheres to the instancelib specification
- intelliw-onnx — An easy to start Intelligent Workshop Algorithm Framework
- invokeai — An implementation of Stable Diffusion which provides various new features and options to aid the image generation process
- iremover — Python 3 library. Image background remover.
- iscc-sci — ISCC - Semantic Code Image
- iTheraPY — Environment for iThera Python tools
- ivadomed — Feature conditioning for IVADO medical imaging project.
- jina — Jina (v%s) is a cloud-native semantic search engine powered by deep neural networks.It provides a universal solution of large-scale index and query for media contents.
- jshbtf0302 — State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
- juxtapose — no summary
- kaiko-eva — Evaluation Framework for oncology foundation models.
- kalapaocr — A boiler plate to make pip package for AI model
- kanao — Kanao is a project designed to train a GPT (Generative Pre-trained Transformer) model on custom datasets. It provides the capability to train the model using various data sources, including PDFs, Word documents, plain text files, and URLs.
- kcaptcha — kill captcha
- kedro-onnx — Adds ONNX support to Kedro
- khmerpunctuate — Punctuation Restoration for Khmer language
- langport — A large language model serving platform.
- langroid — Harness LLMs with Multi-Agent Programming
- langroid-slim — Harness LLMs with Multi-Agent Programming
- learntorank — Learning to rank library
- LEKCut — LEKCut (เล็ก คัด) is a Thai tokenization library that ports the deep learning model to the onnx model.
- lentille — no summary
- lexer-sdk — Lexer Python SDK
- lexikos — A collection of pronunciation dictionaries and neural grapheme-to-phoneme models.
- Lightning — The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
- litecow — no summary
- litecow-models — no summary
- livekit-plugins-silero — Agent Framework Plugin for Silero
- livestt — Simple and easy to use realtime speech to text
- llm-foundry — LLM Foundry
- LLMSmith — Lightweight Python library designed for developing functionalities powered by Large Language Models (LLMs)
- lobe — Lobe Python SDK
- lpr-pkg — no summary
- luxonis-ml — MLOps tools for training models for Luxonis devices
- luxonis-train — Luxonis training framework for seamless training of various neural networks.
- lyrics-transcriber — Automatically create synchronised lyrics files in ASS and MidiCo LRC formats with word-level timestamps, using Whisper and lyrics from Genius and Spotify
- magika — A tool to determine the content type of a file with deep-learning
- make-us-rich — Cryptocurrency forecasting 📈 training and serving models made automatic
- MAMMOth-commons — Component interfaces of the MAMMOth fairness toolkit.
- maraboupy — A package wrapping the Marabou Neural Network Verification tool.
- marearts-anpr — ANPR (Automatic Number Plate Recognition) SDK by MareArts
- mase-tools — Machine-Learning Accelerator System Exploration Tools
- masr — Automatic speech recognition toolkit on Pytorch
- mead-baseline — Strong Deep-Learning Baseline algorithms for NLP
- mera-tvm-runtime — Mera TVM: An End to End Tensor IR/DSL Stack for Deep Learning Systems, adapted to Mera (https://github.com/Edgecortix-Inc/mera) environment.
- meta-face — Meta Face Toolkit
- meta-onnx — Meta Onnx Toolkit
- metaseg — MetaSeg: Packaged version of the Segment Anything repository
- micromind — MicroMind
- milvus-model — Model components for PyMilvus, the Python SDK for Milvus
- miping — MiningPersonalityInGerman enables users to train and apply machine learning models on tweets to predict a user's Big 5 personality.
- mktdata — no summary
- mlagility — MLAgility Benchmark and Tools
- mlcvzoo-mmdetection — MLCVZoo MMDetection Package
- mlem — Version and deploy your models following GitOps principles
- mlflow-watsonml — WatsonML MLflow deployment plugin
- mlinsights — Extends the list of supported operators in onnx reference implementation and onnxruntime, or implements faster versions in C++.
- mlit — ML inference tools
- mlprodict — Python Runtime for ONNX models, other helpers to convert machine learned models in C++.
- mltu — Machine Learning Training Utilities (MLTU) for TensorFlow and PyTorch
- mmcv-lite — OpenMMLab Computer Vision Foundation
- mmdet — OpenMMLab Detection Toolbox and Benchmark
- mmdet-add — MMDetection Add Toolbox
- mmdet-taeuk4958 — OpenMMLab Detection Toolbox and Benchmark (costomized by taeuk4958 for personal project)
- mmedit — OpenMMLab Image and Video Editing Toolbox and Benchmark
- MMEdu — MMEdu originates from the domestic artificial intelligence visual algorithm integration framework OpenMMLab, and is a "out of the box" deep learning development tool.
- modeci-mdf — ModECI (Model Exchange and Convergence Initiative) Model Description Format
- model-vis — An easy and interactive graph visualization tool for ML models!!!
- modelify — New Version of MLOps Platforms.
- modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
- modelutils — Utility scripts for various deep learning models
- modlee-onnx2torch — ONNX to PyTorch converter
- modoptima — ModOptima is a library that democratize deep learning model optimizations to developers. Letting them optimize their models with few lines of code.
- monai — AI Toolkit for Healthcare Imaging
- monai-weekly — AI Toolkit for Healthcare Imaging
- mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
- motrack — Tracking-by-detection (MOT) package
- mouselungseg — 3D U-Net model for the segmentation of the lungs in mice CT scans.
- mridc — Data Consistency for Magnetic Resonance Imaging
- ms2query — Tool to query MS/MS spectra against mass spectral library
- mtcnn-runtime — Python library for streamlined tracking and management of AI training processes.
- mudes — Toxic Spans Prediction
- mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
- namazu — NaMAZU: Pretty Usefull Library
- napari-cellseg3d — Plugin for cell segmentation in 3D
- ndu-gate-camera — NDU Gate Camera Service
- nemo2riva — ('NeMo Model => Riva Deployment Converter',)
- neogpt — NeoGPT: Chat effortlessly with Documents, YouTube Videos,Code, and Social Media Chats. Your go-to for quick and smart interactions! 🤖💬
- neon-speech — Neon Speech Module
- neorl2 — no summary
- neural-amp-modeler — Neural amp modeler
- neural-compressor-3x-ort — Repository of Intel® Neural Compressor
- neural-homomorphic-vocoder — Pytorch implementation of neural homomorphic vocoder
- ng-fruitdetect — A short description of your package
- nlu-inference — nlu模型推理服务
- nlu-trainer — 普强信息语言理解模型训练框架
- nncf — Neural Networks Compression Framework