Alternatives and similar repositories for onnx-docker

Users that are interested in onnx-docker are comparing it to the libraries listed below

• onnx / keras-onnx
  Convert tf.keras/Keras models to ONNX
  ☆380Updated 3 years ago
• tensorflow / tensorrt
  TensorFlow/TensorRT integration
  ☆743Updated last year
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆338Updated 8 months ago
• triton-inference-server / dali_backend
  The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
  ☆136Updated this week
• dkorobchenko / tensorrt-demo
  TensorRT and TensorFlow demo/example (python, jupyter notebook)
  ☆83Updated 6 years ago
• openvinotoolkit / model_server
  A scalable inference server for models optimized with OpenVINO™
  ☆742Updated this week
• neo-ai / neo-ai-dlr
  Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.
  ☆493Updated 2 years ago
• NVIDIA / object-detection-tensorrt-example
  Running object detection on a webcam feed using TensorRT on NVIDIA GPUs in Python.
  ☆223Updated 4 years ago
• onnx / sklearn-onnx
  Convert scikit-learn models and pipelines to ONNX
  ☆588Updated last month
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆362Updated 4 months ago
• NVIDIA / tensorrt-laboratory
  Explore the Capabilities of the TensorRT Platform
  ☆264Updated 3 years ago
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆274Updated last week
• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,094Updated last month
• leimao / Frozen-Graph-TensorFlow
  Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x
  ☆304Updated 4 years ago
• NVIDIA-AI-IOT / deepstream_4.x_apps
  deepstream 4.x samples to deploy TLT training models
  ☆85Updated 5 years ago
• sayakpaul / Adventures-in-TensorFlow-Lite
  This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
  ☆170Updated 2 years ago
• david-drew / OpenVINO-Custom-Layers
  Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
  ☆106Updated 5 years ago
• scailable / sclblonnx
  Scailable ONNX python tools
  ☆96Updated 8 months ago
• intel / tools
  ☆57Updated 4 years ago
• HewlettPackard / dlcookbook-dlbs
  Deep Learning Benchmarking Suite
  ☆129Updated 2 years ago
• google-coral / tflite
  Examples using TensorFlow Lite API to run inference on Coral devices
  ☆186Updated 11 months ago
• NVIDIA-AI-IOT / JEP_ChatBot
  ChatBot: sample for TensorRT inference with a TF model
  ☆46Updated 7 years ago
• intel-iot-devkit / smart-video-workshop
  Learn about the workflow using Intel® Distribution of OpenVINO™ toolkit to accelerate vision, automatic speech recognition, natural langu…
  ☆301Updated 11 months ago
• NVIDIA-AI-IOT / tf_to_trt_image_classification
  Image classification with NVIDIA TensorRT from TensorFlow models.
  ☆457Updated 4 years ago
• google / tensorflow-recorder
  TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured d…
  ☆181Updated 3 years ago
• neo-ai / tvm
  Open deep learning compiler stack for cpu, gpu and specialized accelerators
  ☆89Updated 2 years ago
• triton-inference-server / model_navigator
  Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.
  ☆206Updated 2 months ago
• onnx / onnx-tensorflow
  Tensorflow Backend for ONNX
  ☆1,310Updated last year
• awslabs / keras-apache-mxnet
  [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support
  ☆289Updated 2 years ago
• intel / ai-reference-models
  Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…
  ☆715Updated this week