onnx / onnx-dockerLinks
Dockerfiles and scripts for ONNX container images
☆138Updated 3 years ago
Alternatives and similar repositories for onnx-docker
Users that are interested in onnx-docker are comparing it to the libraries listed below
Sorting:
- Convert tf.keras/Keras models to ONNX☆381Updated 4 years ago
- Examples for using ONNX Runtime for model training.☆354Updated last year
- Accelerate PyTorch models with ONNX Runtime☆366Updated 8 months ago
- ☆57Updated 5 years ago
- Common utilities for ONNX converters☆283Updated 2 months ago
- Explore the Capabilities of the TensorRT Platform☆264Updated 4 years ago
- TensorRT and TensorFlow demo/example (python, jupyter notebook)☆81Updated 6 years ago
- Scailable ONNX python tools☆97Updated last year
- The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.☆138Updated last week
- A scalable inference server for models optimized with OpenVINO™☆790Updated this week
- Neo-AI-DLR is a common runtime for machine learning models compiled by AWS SageMaker Neo, TVM, or TreeLite.☆497Updated 2 years ago
- Parse TFLite models (*.tflite) EASILY with Python. Check the API at https://zhenhuaw.me/tflite/docs/☆102Updated 9 months ago
- Convert scikit-learn models and pipelines to ONNX☆602Updated 2 weeks ago
- Running object detection on a webcam feed using TensorRT on NVIDIA GPUs in Python.☆227Updated 4 years ago
- This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.☆173Updated 2 years ago
- ONNXMLTools enables conversion of models to ONNX☆1,124Updated 5 months ago
- How to run Keras model inference x3 times faster with CPU and Intel OpenVINO☆34Updated 6 years ago
- Deep Learning Benchmarking Suite☆130Updated 2 years ago
- Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x☆304Updated 4 years ago
- deepstream 4.x samples to deploy TLT training models☆84Updated 5 years ago
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆213Updated 6 months ago
- Convert ONNX model graph to Keras model format.☆202Updated last year
- Repo to demonstrate conversion from PyTorch to TensorFlow☆34Updated 2 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- Plugin for deploying MLflow models to TorchServe☆110Updated 2 years ago
- Computer vision container that includes Jupyter notebooks with built-in code hinting, Anaconda, CUDA 11.8, TensorRT inference accelerator…☆157Updated 2 years ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆496Updated this week
- An example of using DeepStream SDK for redaction☆212Updated last year
- reference implementation to use ONNX Runtime with Azure IoT Edge☆63Updated 5 years ago
- Governance of the Keras API.☆144Updated 2 years ago