Alternatives and similar repositories for onnxruntime_backend

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

• 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 4 months ago
• triton-inference-server / backend
  Common source, scripts and utilities for creating Triton backends.
  ☆346Updated last month
• triton-inference-server / pytorch_backend
  The Triton backend for the PyTorch TorchScript models.
  ☆159Updated last month
• 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…
  ☆489Updated last month
• triton-inference-server / tensorrt_backend
  The Triton backend for TensorRT.
  ☆77Updated this week
• triton-inference-server / common
  Common source, scripts and utilities shared across all Triton repositories.
  ☆76Updated last month
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆279Updated last week
• triton-inference-server / vllm_backend
  ☆294Updated last month
• triton-inference-server / triton_cli
  Triton CLI is an open source command line interface that enables users to create, deploy, and profile models served by the Triton Inferen…
  ☆67Updated last month
• triton-inference-server / client
  Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
  ☆642Updated this week
• triton-inference-server / perf_analyzer
  ☆105Updated 2 weeks ago
• triton-inference-server / core
  The core library and APIs implementing the Triton Inference Server.
  ☆149Updated this week
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆378Updated last week
• triton-inference-server / python_backend
  Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.
  ☆638Updated this week
• triton-inference-server / tensorflow_backend
  The Triton backend for TensorFlow.
  ☆53Updated 2 months ago
• triton-inference-server / openvino_backend
  OpenVINO backend for Triton.
  ☆32Updated last week
• pytorch / torchx
  TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…
  ☆387Updated last week
• triton-inference-server / dali_backend
  The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
  ☆138Updated this week
• pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆180Updated 2 weeks ago
• pytorch / ort
  Accelerate PyTorch models with ONNX Runtime
  ☆363Updated 6 months ago
• triton-inference-server / pytriton
  PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
  ☆817Updated 3 weeks ago
• microsoft / batch-inference
  Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.
  ☆103Updated last year
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆203Updated 2 months ago
• anyscale / llm-continuous-batching-benchmarks
  ☆121Updated last year
• neuralmagic / AutoFP8
  ☆197Updated 4 months ago
• microsoft / onnxruntime-extensions
  onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime
  ☆409Updated this week
• triton-inference-server / fastertransformer_backend
  ☆412Updated last year
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆135Updated 3 months ago
• microsoft / onnxruntime-training-examples
  Examples for using ONNX Runtime for model training.
  ☆344Updated 10 months ago
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆266Updated 11 months ago