Alternatives and similar repositories for model_server

Users that are interested in model_server are comparing it to the libraries listed below

• intel / ai-reference-models
  Intel® AI Reference Models: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors and Inte…
  ☆717Updated last week
• tensorflow / tensorrt
  TensorFlow/TensorRT integration
  ☆743Updated last year
• dlstreamer / dlstreamer
  DL Streamer is now part of Open Edge Platform, for latest updates and releases please visit new repo: https://github.com/open-edge-platfo…
  ☆564Updated 2 weeks ago
• onnx / keras-onnx
  Convert tf.keras/Keras models to ONNX
  ☆380Updated 3 years ago
• onnx / onnx-tensorflow
  Tensorflow Backend for ONNX
  ☆1,312Updated last year
• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,096Updated last month
• openvinotoolkit / openvino_contrib
  Repository for OpenVINO's extra modules
  ☆134Updated last week
• openvinotoolkit / nncf
  Neural Network Compression Framework for enhanced OpenVINO™ inference
  ☆1,066Updated this week
• onnx / onnx-docker
  Dockerfiles and scripts for ONNX container images
  ☆136Updated 2 years ago
• triton-inference-server / model_analyzer
  Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…
  ☆481Updated last week
• huggingface / optimum-intel
  🤗 Optimum Intel: Accelerate inference with Intel optimization tools
  ☆481Updated this week
• onnx / optimizer
  ONNX Optimizer
  ☆735Updated 2 weeks ago
• openvinotoolkit / openvino_tensorflow
  OpenVINO™ integration with TensorFlow
  ☆179Updated last year
• openvinotoolkit / docker_ci
  The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
  ☆67Updated last month
• triton-inference-server / client
  Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
  ☆635Updated last week
• triton-inference-server / backend
  Common source, scripts and utilities for creating Triton backends.
  ☆336Updated last week
• openvinotoolkit / openvino.genai
  Run Generative AI models with simple C++/Python API and using OpenVINO Runtime
  ☆312Updated this week
• tensorflow / runtime
  A performant and modular runtime for TensorFlow
  ☆758Updated 3 months ago
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆404Updated this week
• triton-inference-server / dali_backend
  The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
  ☆136Updated last week
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆339Updated 9 months ago
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆275Updated 2 weeks ago
• open-edge-platform / training_extensions
  Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
  ☆1,198Updated last week
• intel / inference-model-manager
  Inference Model Manager for Kubernetes
  ☆46Updated 6 years ago
• Adlik / Adlik
  Adlik: Toolkit for Accelerating Deep Learning Inference
  ☆804Updated last year
• NVIDIA / tensorrt-laboratory
  Explore the Capabilities of the TensorRT Platform
  ☆264Updated 3 years ago
• onnx / tensorflow-onnx
  Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
  ☆2,455Updated 2 weeks 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.
  ☆210Updated 3 months ago
• NVIDIA-AI-IOT / deepstream_tao_apps
  Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
  ☆422Updated 5 months ago
• triton-inference-server / python_backend
  Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.
  ☆629Updated this week