Reverse Dependencies of onnxruntime

The following projects have a declared dependency on onnxruntime:

• aad2onnx — Python module to convert AAD model to ONNX format
• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adapters — A Unified Library for Parameter-Efficient and Modular Transfer Learning
• aglite-test.tabular — AutoML for Image, Text, and Tabular Data
• aict-tools — Artificial Intelligence for Imaging Atmospheric Cherenkov Telescopes
• aimodelshare — Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org
• aimodelshare-nightly — Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org
• aizynthfinder — Retrosynthetic route finding using neural network guided Monte-Carlo tree search
• akita-ai — AI-enhanced development tool.
• algorin-cli — Acceso a GPT-3 y procesamiento de documentos desde la línea de comandos.
• amf-fast-inference — uses pruning and quatisation to make inference speed faster
• anime-identify — Identify whether an image is an anime image
• anime-or-not — Classifies if an image is "anime" or not
• anylabeling — Effortless data labeling with AI support
• app-ocr — E-kyc for Industries application
• archai — Platform for Neural Architecture Search
• ArtNex — ArtNex is a deep learning framework exploring the innovative fusion of art and technology.
• asone — no summary
• atommic — Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC)
• audio-purifier — Enables silent parts removal from audio, exporting as new files. Inspired by 'faster-whisper'.
• audio-separator — Easy to use audio stem separation, using various models from UVR trained primarily by @Anjok07
• audonnx — Deploy models in ONNX format
• aus-council-scrapers — no summary
• auto-learn-gpt — autoML for training and inference Deep Learning model
• auto-verify — Efficient portfolio-based verification of neural network properties
• autocare-dlt — Autocare Tx Model
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• autoMLF — autoML for training and inference Deep Learning model
• automs — Automatic Model Selection Using Cluster Indices
• azureml-automl-runtime — Contains the ML and non-Azure specific common code associated with running AutoML for public use.
• azureml-train-automl-runtime — Used for automatically finding the best machine learning model and its parameters.
• azureml-training-tabular — Contains ML models, featurizers and scoring code which can either be used with AutoML or standalone.
• BaseDeploy — BaseDeploy is a simple deployment tool made by XEdu.
• basic-pitch — Basic Pitch, a lightweight yet powerful audio-to-MIDI converter with pitch bend detection.
• batch-inference — Batch Inference
• baybe — A Bayesian Back End for Design of Experiments
• bhsenti — 基于三分类的中文情感分析
• bigdl-chronos-spark321 — Scalable time series analysis using AutoML
• bigdl-nano — High-performance scalable acceleration components for intel.
• bioimageio.core — Python functionality for the bioimage model zoo
• bodyjim — Comma body gymnasium API
• bolna — no summary
• brevettiai — Brevetti AI library
• brevitas — Quantization-aware training in PyTorch
• brocolli — everything in pytorch
• captcha-solve-adapter — no summary
• carefree-learn — Deep Learning with PyTorch made easy
• catalyst — Catalyst. Accelerated deep learning R&D with PyTorch.
• catalyst-pdm — Catalyst fork compatible with PDM
• cell-bin — A framework for generating single-cell gene expression data
• cellulose-sdk — Cellulose Python SDK
• cerberus-package-1 — first version of package scrfd
• cfdonnx — Converting ML-CFD models to ONNX
• chinese-onnx — onnx模型发布
• chromadb — Chroma.
• chromadb-pysqlite3 — Chroma.
• ClashRoyaleBuildABot — A platform for creating bots to play Clash Royale
• cnocr — Python3 package for Chinese/English OCR, with small pretrained models
• cnstd — Python3 package for Chinese/English Scene Text Detection (STD), Mathematical Formula Detection (MFD), and Layout Analysis, with free pretrained models
• codcat — Code snippets language classification tool
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• comics-ocr — ComicsOCR is a Python package created for easily distributing OCR models trained for golden age of comics.
• composer — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• concrete-ml — Concrete ML is an open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists.
• concrete-ml-extensions-brevitas — Quantization-aware training in PyTorch
• concrete-ml-extensions-hb — Convert trained traditional machine learning models into tensor computations
• continual-inference — A Python library for Continual Inference Networks in PyTorch
• coqui-stt-training — Training code for Coqui STT
• credsweeper — Credential Sweeper
• crystal-eyes — no summary
• csaf-controls — Control Systems Analysis Framework
• cv-validator — Tool for validating your computer vision data and model results.
• cvbot — Visual based desktop automation toolbox. Supports mouse & keyboard control
• cvlab-dl — An unified laboratory/framework for Computer Vision research, development and deployment.
• cvlab-gui — Object Detection annotation tool entirely written in Python. Automatically annotate entire images using a pretrained object detection model or pseudo-classify single bbounding boxes with Self-Supervised pretrained models.
• dabox-project — The DABOX project
• dabox-research — Research repository for the DaBox project.
• data-modori — LMOps Tool for Korean
• dcm-classifier — This is a consolidation of work from NAMIC efforts primarily at the University of Iowa.
• ddtank — A package used for writing ddtank game scripts.
• ddtank-tw — A package used for writing ddtank game scripts.
• ddtcurve — A package used to calculate the strength of the ddtank game.
• ddtcv — DDT CV.
• deepdanbooru-onnx — anime image classification
• deepfilternet — Noise supression using deep filtering
• deeplite-model-converter — Converter of Deep Learning Model Formats
• deepoffense — Multilingual Offensive Language Identification with Transformers
• deepview-converter-onnx — DeepView Converter for ONNX
• deform-conv2d-onnx-exporter — A library to support onnx export of deform_conv2d in PyTorch.
• dianna — Deep Insight And Neural Network Analysis
• dimits — Dimits is a Python library that provides an easy-to-use interface to the Piper text-to-speech (TTS) system. It utilizes the powerful Piper TTS engine, which is optimized for Raspberry Pi 4, to generate high-quality synthesized speech.
• dis-bg-remover — Highly Accurate Dichotomous Image Segmentation
• dlacc — A simple framework for accelerating deep learning inference runtime.
• dnnv — dnnv - deep neural network verification
• dogsvscats — Solution for Kaggle competition https://www.kaggle.com/c/dogs-vs-cats
• easy-transformers — Utils for dealing with transformers
• edgeiq — Build computer vision applications for the edge quickly and easily.
• efficient-ocr — Efficient OCR
• efficientvit-gml — open-set object detector