Reverse Dependencies of tf2onnx

The following projects have a declared dependency on tf2onnx:

• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language 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
• aissemble-machine-learning-training — Description of package
• axelerate — Keras-based framework for AI on the Edge
• bigdl-chronos — Scalable time series analysis using AutoML
• bigdl-chronos-spark2 — Scalable time series analysis using AutoML
• bigdl-chronos-spark3 — Scalable time series analysis using AutoML
• brevettiai — Brevetti AI library
• cellulose-sdk — Cellulose Python SDK
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• czmodel — A conversion tool for TensorFlow or ONNX ANNs to CZANN
• deepdoctection — Repository for Document AI
• deepview-converter-onnx — DeepView Converter for ONNX
• dianna — Deep Insight And Neural Network Analysis
• elemeno-ai-sdk — A set of glue code and utilities to make using elemeno AI platform a smooth experience
• fast-plate-ocr — Fast & Lightweight OCR for vehicle license plates.
• flytekitplugins-onnxtensorflow — ONNX TensorFlow Plugin for Flytekit
• groqflow — GroqFlow toolchain library
• hypertrain — Hypertrain Package
• keras2trt — CLI to convert TensorFlow models to TensorRT engines
• kimm — A Keras model zoo with pretrained weights.
• lexer-sdk — Lexer Python SDK
• miso — Python scripts for training CNNs for particle classification
• miso2 — Python scripts for training CNNs for particle classification
• mlagility — MLAgility Benchmark and Tools
• mlsquare — Machine Learning for Machine Learning
• modelify — New Version of MLOps Platforms.
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• napari-aideveloper — napari_aideveloper is a napari-plugin deived from AIDeveloper that allows you to train, evaluate and apply deep neural nets for image classification within a graphical user-interface (GUI).
• neuralbridge — Easy-to-use, one-liner AI model conversion tool between AI frameworks to ensure faster model development and portability with ONNX.
• nnabla-converter — NNabla File Format Converter
• Oemer — End-to-end Optical Music Recognition (OMR) system.
• omlt — OMLT is a Python package for representing machine learning models (such as neural networks) within the Pyomo optimization environment.
• opsml — Python MLOPs quality control tooling for your production ML workflows
• optimum — Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality.
• oracle-ads — Oracle Accelerated Data Science SDK
• pymlup — MLup framework, fast ml to production, easy to learn, easy to use.
• python-doctr — Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.
• qonnx — Frontend and utilities for QONNX
• quick-deploy — Quick-Deploy optimize and deploy Machine Learning models as fast inference API.
• riid — Machine learning-based models and utilities for radioisotope identification
• secretflow — SecretFlow
• shengtengconverter — A simple converter for Shengteng
• sonusai — Framework for building deep neural network models for sound, speech, and voice AI
• sparseml — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
• sparseml-nightly — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
• sphinx-summaries — no summary
• tf-encrypted — A Framework for Machine Learning on Encrypted Data.
• tpu_mlir_test — Machine learning compiler based on MLIR for Sophgo TPU v2.49-20240426.
• transformers — State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
• triton-model-navigator — Triton Model Navigator: An inference toolkit for optimizing and deploying machine learning models and pipelines on the Triton Inference Server and PyTriton.
• turnkeyml — TurnkeyML Tools and Models
• winmltools — Converts Machine Learning models to ONNX for use in Windows ML
• yaket — YAML Keras Trainer for quick AI development
• zetane — The Zetane Engine
• zetane-engine — The Zetane Engine