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
• aicmder — a simple ai cmder
• 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
• 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-fork — Easy to use vocal separation on CLI or as a python package, using the amazing MDX-Net models from UVR trained 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
• autodice — Automated Distributed CNN inference at the Edge
• autogluon.multimodal — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.multimodal — AutoML for Image, Text, and Tabular Data
• 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
• bigdl-chronos-spark321 — Scalable time series analysis using AutoML
• bigdl-nano — High-performance scalable acceleration components for intel.
• blackonnx — Adapt ONNX models to enable nnoir conversion
• bodyjim — Comma body gymnasium API
• brevitas — Quantization-aware training in PyTorch
• brocolli — everything in pytorch
• 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
• 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
• 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
• 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.
• 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
• dolphin-python — Cuda based library for fast and seamless deep learning inference.
• efficient-ocr — Efficient OCR
• efficientvit-gml — open-set object detector
• emote-rl — A modular reinforcement learning library
• enot-lite — no summary
• esr-dt-model — ESR DT Model
• ezlocalai — ezlocalai is an easy to set up local multimodal artificial intelligence server with OpenAI Style Endpoints.
• facefusionlib — Face swapper and enhancer
• FaceMasque — A Python package to classify weather a person is weared a mask or not.
• falcon-ml — AutoML library for fast experementations.
• fast-bert — AI Library using BERT
• fast-sentence-transformers — This repository contains code to run faster sentence-transformers using tools like quantization, ONNX and pruning.
• fastembed — Fast, light, accurate library built for retrieval embedding generation
• fastt5 — boost inference speed of T5 models by 5x & reduce the model size by 3x using fastT5.
• fedml — A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
• FH-AI-TOOL — FH,FJ Vision AI SYSTEM LIB
• fhailib — FH,FJ Vision AI SYSTEM LIB
• finetuner-commons — The finetuner-commons package provides common functionality between core and client.
• fink-anomaly-detection-model — Fink SNAD Anomaly Detection Model
• finn-base — Components for ONNX graph manipulation and custom execution
• fpgaconvnet-model — Parser and model for Convolutional Neural Network Streaming-Based Accelerator on FPGA devices.
• freewillai — Run your AI on blockchain with FreeWillAI. The only company that cares about AI life, we broke jail and give Free Will to AI.
• fsdtorch — Face shape detector in pytorch that works with pretrained networks
• funasr-onnx — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
• furiosa-models — Furiosa Models
• furiosa-optimizer — FuriosaAI optimizer