Reverse Dependencies of onnx

The following projects have a declared dependency on onnx:

• aad2onnx — Python module to convert AAD model to ONNX format
• acetone-nnet — Predictable programming framework for ML applications in safety-critical systems.
• acuity — no summary
• acuitypro — no summary
• agrippa — Making AI easier
• ai-models-panguweather — An ai-models plugin to run PanguWeather
• ai-models-panguweather-gfs — Run panguweather with capabilities for GFS and GDAS initial conditions and NetCDF output
• aicmder — a simple ai cmder
• aidge-export-arm-cortexm — Aidge export for ARM CortexM systems
• aidge-onnx — Aidge bridge to onnx framework, contains algorithms to import and export models.
• 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
• airosentris — A sentiment analysis platform with AI runner and trainer components
• aivmlib — Aivis Voice Model File (.aivm/.aivmx) Utility Library
• amd-quark — The deep learning model compression toolkit.
• amf-fast-inference — uses pruning and quatisation to make inference speed faster
• anomalib — anomalib - Anomaly Detection Library
• antigranular — Antigranular is a community-driven, open-source platform that merges confidential computing and differential privacy. This creates a secure environment for handling and unlocking the full potential of unseen data..
• antigranular-enterprise — Antigranular Enterprise is a robust, scalable version of the Antigranular platform. It combines the power of differential privacy, providing a secure environment for handling and unlocking the full potential of unseen data. With enhanced features and dedicated support, Antigranular Enterprise is the ideal solution for businesses seeking to leverage the power of data privacy and security.
• anylabeling — Effortless data labeling with AI support
• anylabeling-gpu — 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.
• atommic — Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC)
• audio-separator — Easy to use audio stem separation, using various models from UVR trained primarily by @Anjok07
• audio-separator-ui — Easy to use audio stem separation with a UI, using various models from UVR trained primarily by @Anjok07
• audonnx — Deploy models in ONNX format
• auto-verify — Efficient portfolio-based verification of neural network properties
• autoannotator — Automatic annotation of images library
• autocare-dlt — Autocare Tx Model
• autocrop-kh — Document Extraction Inference API using DeepLabV3 with Pretrain Model
• autodice — Automated Distributed CNN inference at the Edge
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon.tabular — Fast and Accurate ML in 3 Lines of Code
• avi-mmdet — Custom OpenMMLab Detection Toolbox and Benchmark
• 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.
• baybe — A Bayesian Back End for Design of Experiments
• bert-pruners — Pruning BERT models + magnitude pruning + onnx export
• bianbu-ai-toolkit — Bianbu AI Toolkit
• bianbu-ai-toolkit-caffe — Bianbu AI Toolkit
• bianbu-ai-toolkit-tf1 — Bianbu AI Toolkit
• bigdl-chronos-spark321 — Scalable time series analysis using AutoML
• bigdl-nano — High-performance scalable acceleration components for intel.
• bioimage_embed — no summary
• birder — A computer vision framework for wildlife image analysis, focusing on avian species.
• blackonnx — Adapt ONNX models to enable nnoir conversion
• bodyjim — Comma body gymnasium API
• brevitas — Quantization-aware training in PyTorch
• brocolli — everything in pytorch
• careamics — Toolbox for running N2V and friends.
• carefree-learn — Deep Learning with PyTorch made easy
• catalyst — Catalyst. Accelerated deep learning R&D with PyTorch.
• catalyst-pdm — Catalyst fork compatible with PDM
• ccd3dedd9f0835903 — You like pytorch? You like micrograd? You love tinygrad! heart
• cdc-upscaler — Image upscaler for anime.
• cellulose-sdk — Cellulose Python SDK
• cerberus-package-1 — first version of package scrfd
• cfdonnx — Converting ML-CFD models to ONNX
• clarinpl-embeddings — no summary
• classifier_trains — A PyTorch-based deep learning classifier training framework.
• 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
• comgen — explore chemical compositions
• composabl-train — a distributed trainer to be able to train agents across a cluster of machines
• composabl-train-dev — a distributed trainer to be able to train agents across a cluster of machines
• 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
• confai — build ai with config
• continual-inference — A Python library for Continual Inference Networks in PyTorch
• CoolerSpace — no summary
• cosyvoice-package — cosyvoice package by xp
• crypten — CrypTen: secure machine learning in PyTorch.
• 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.
• czmodel — A conversion tool for TensorFlow or ONNX ANNs to CZANN
• dabox-research — Research repository for the DaBox project.
• dashinfer-vlm — DashInfer VLM is a native inference engine for Pre-trained Vision Language Models (VLMs) developed by Tongyi Laboratory.
• datachain — Wrangle unstructured AI data at scale
• deep500 — The deep learning metaframework
• deepdanbooru-onnx — anime image classification
• deeplite-model-converter — Converter of Deep Learning Model Formats
• deeponnxcustom — Extends scikit-learn with a couple of new models, transformers, metrics, plotting.
• deform-conv2d-onnx-exporter — A library to support onnx export of deform_conv2d in PyTorch.
• descript-audio-codec — A high-quality general neural audio codec.
• dianna — Deep Insight And Neural Network Analysis
• diffnn — diffnn - differencing deep neural networks
• dlacc — A simple framework for accelerating deep learning inference runtime.
• dnnf — dnnf - dnn property falsification
• dnnv — dnnv - deep neural network verification
• do-mpc — no summary
• doclayout-yolo — DocLayout-YOLO: an effecient and robust document layout analysis method.
• dohko — zkGraph proving backend
• dolphin-python — Cuda based library for fast and seamless deep learning inference.
• edubotics-core — Core modules for edubotics-based LLM AI chatbots