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…
  ☆724Updated this week
• tensorflow / tensorrt
  TensorFlow/TensorRT integration
  ☆743Updated 2 years ago
• open-edge-platform / dlstreamer
  Deep Learning Streamer (DL Streamer) Pipeline Framework is an open-source streaming media analytics framework, based on GStreamer* multim…
  ☆568Updated this week
• openvinotoolkit / openvino_contrib
  Repository for OpenVINO's extra modules
  ☆157Updated this week
• onnx / keras-onnx
  Convert tf.keras/Keras models to ONNX
  ☆382Updated 4 years ago
• openvinotoolkit / docker_ci
  The framework to generate a Dockerfile, build, test, and deploy a docker image with OpenVINO™ toolkit.
  ☆68Updated this week
• 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…
  ☆502Updated 2 weeks ago
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆291Updated 3 weeks ago
• triton-inference-server / client
  Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
  ☆673Updated last month
• openvinotoolkit / openvino_tensorflow
  OpenVINO™ integration with TensorFlow
  ☆178Updated last year
• triton-inference-server / backend
  Common source, scripts and utilities for creating Triton backends.
  ☆365Updated 3 weeks ago
• huggingface / optimum-intel
  🤗 Optimum Intel: Accelerate inference with Intel optimization tools
  ☆527Updated this week
• onnx / onnxmltools
  ONNXMLTools enables conversion of models to ONNX
  ☆1,133Updated last week
• intel / inference-model-manager
  Inference Model Manager for Kubernetes
  ☆46Updated 6 years ago
• openvinotoolkit / openvino.genai
  Run Generative AI models with simple C++/Python API and using OpenVINO Runtime
  ☆410Updated 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.
  ☆139Updated 3 weeks ago
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆433Updated 3 weeks ago
• onnx / onnx-tensorflow
  Tensorflow Backend for ONNX
  ☆1,325Updated last year
• onnx / onnx-docker
  Dockerfiles and scripts for ONNX container images
  ☆138Updated 3 years ago
• onnx / optimizer
  ONNX Optimizer
  ☆787Updated this week
• 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.
  ☆214Updated 8 months ago
• openvinotoolkit / nncf
  Neural Network Compression Framework for enhanced OpenVINO™ inference
  ☆1,113Updated last week
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆358Updated last year
• isarsoft / yolov4-triton-tensorrt
  This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server
  ☆286Updated 3 years ago
• NVIDIA-AI-IOT / redaction_with_deepstream
  An example of using DeepStream SDK for redaction
  ☆212Updated last year
• NVIDIA / tensorrt-laboratory
  Explore the Capabilities of the TensorRT Platform
  ☆264Updated 4 years ago
• NVIDIA-AI-IOT / deepstream_tao_apps
  Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
  ☆438Updated 2 months ago
• intel / onnxruntime
  ONNX Runtime: cross-platform, high performance scoring engine for ML models
  ☆78Updated this week
• open-edge-platform / training_extensions
  Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
  ☆1,211Updated this week
• Adlik / Adlik
  Adlik: Toolkit for Accelerating Deep Learning Inference
  ☆810Updated 2 years ago