Alternatives and similar repositories for tensorrt_backend

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

• triton-inference-server / onnxruntime_backend
  The Triton backend for the ONNX Runtime.
  ☆166Updated this week
• triton-inference-server / backend
  Common source, scripts and utilities for creating Triton backends.
  ☆357Updated 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.
  ☆138Updated last 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.
  ☆213Updated 6 months 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…
  ☆496Updated last week
• triton-inference-server / pytorch_backend
  The Triton backend for the PyTorch TorchScript models.
  ☆164Updated this week
• triton-inference-server / common
  Common source, scripts and utilities shared across all Triton repositories.
  ☆77Updated this week
• triton-inference-server / vllm_backend
  ☆309Updated last week
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆283Updated 2 months ago
• triton-inference-server / perf_analyzer
  ☆117Updated last week
• triton-inference-server / python_backend
  Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.
  ☆654Updated this week
• YH-Wu / Triton-Inference-Server-on-Kubernetes
  ☆33Updated 3 years ago
• triton-inference-server / client
  Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
  ☆657Updated this week
• 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…
  ☆71Updated this week
• tsingmicro-toolchain / OnnxSlim
  A Toolkit to Help Optimize Large Onnx Model
  ☆161Updated 2 weeks ago
• torchpipe / torchpipe
  Serving Inside Pytorch
  ☆165Updated last week
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆202Updated 4 months ago
• triton-inference-server / openvino_backend
  OpenVINO backend for Triton.
  ☆34Updated this week
• neuralmagic / AutoFP8
  ☆205Updated 6 months ago
• triton-inference-server / paddlepaddle_backend
  ☆36Updated last year
• triton-inference-server / pytriton
  PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.
  ☆825Updated 3 months ago
• onnx / neural-compressor
  Model compression for ONNX
  ☆98Updated 11 months ago
• triton-inference-server / core
  The core library and APIs implementing the Triton Inference Server.
  ☆155Updated this week
• inisis / OnnxSlim
  A Toolkit to Help Optimize Onnx Model
  ☆232Updated this week
• kamalkraj / stable-diffusion-tritonserver
  Deploy stable diffusion model with onnx/tenorrt + tritonserver
  ☆127Updated 2 years ago
• Rayrtfr / FasterTransformer
  Transformer related optimization, including BERT, GPT
  ☆17Updated 2 years ago
• meta-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…
  ☆181Updated 2 months ago
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆180Updated 7 months ago
• leimao / ONNX-Python-Examples
  ONNX Python Examples
  ☆16Updated 3 years ago
• wangkuiyi / huggingface-tokenizer-in-cxx
  ☆70Updated 2 years ago