Alternatives and similar repositories for TensorRT_Tutorial

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

• NVIDIA / trt-samples-for-hackathon-cn
  Simple samples for TensorRT programming
  ☆1,627Updated 2 months ago
• zerollzeng / tiny-tensorrt
  Deploy your model with TensorRT quickly.
  ☆768Updated last year
• HeKun-NVIDIA / TensorRT-Developer_Guide_in_Chinese
  ☆292Updated 3 years ago
• OpenPPL / ppq
  PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
  ☆1,714Updated last year
• OpenPPL / ppl.cv
  ppl.cv is a high-performance image processing library of openPPL supporting various platforms.
  ☆507Updated 9 months ago
• OpenPPL / ppl.nn
  A primitive library for neural network
  ☆1,345Updated 8 months ago
• huiscliu / Tutorials
  Parallel programming tutorials
  ☆628Updated 4 years ago
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆826Updated 3 months ago
• layerism / TensorRT-Inference-Server-Tutorial
  服务侧深度学习部署案例
  ☆452Updated 5 years ago
• tpoisonooo / how-to-optimize-gemm
  row-major matmul optimization
  ☆649Updated last year
• godweiyang / NN-CUDA-Example
  Several simple examples for popular neural network toolkits calling custom CUDA operators.
  ☆1,488Updated 4 years ago
• Tencent / TPAT
  TensorRT Plugin Autogen Tool
  ☆369Updated 2 years ago
• huawei-noah / bolt
  Bolt is a deep learning library with high performance and heterogeneous flexibility.
  ☆953Updated 3 months ago
• Tencent / Forward
  A library for high performance deep learning inference on NVIDIA GPUs.
  ☆556Updated 3 years ago
• agrechnev / trt-cpp-min
  TensorRT 7 C++ (almost) minimal examples
  ☆82Updated last year
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆536Updated 2 years ago
• brucefan1983 / CUDA-Programming
  Sample codes for my CUDA programming book
  ☆1,765Updated 5 months ago
• deepglint / EasyQuant
  EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activatio…
  ☆402Updated 2 years ago
• BBuf / how-to-optim-algorithm-in-cuda
  how to optimize some algorithm in cuda.
  ☆2,345Updated this week
• Tony-Tan / CUDA_Freshman
  ☆2,503Updated last year
• BBuf / tvm_mlir_learn
  compiler learning resources collect.
  ☆2,457Updated 4 months ago
• BBuf / how-to-learn-deep-learning-framework
  how to learn PyTorch and OneFlow
  ☆441Updated last year
• inisis / brocolli
  Everything in Torch Fx
  ☆344Updated last year
• ThanatosShinji / onnx-tool
  A parser, editor and profiler tool for ONNX models.
  ☆446Updated last month
• Tongkaio / CUDA_Kernel_Samples
  CUDA 算子手撕与面试指南
  ☆511Updated 6 months ago
• 666DZY666 / micronet
  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…
  ☆2,255Updated 2 months ago
• Liu-xiandong / How_to_optimize_in_GPU
  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…
  ☆1,102Updated 2 years ago
• doorteeth / learn_cuda
  ☆41Updated 3 years ago
• LitLeo / OpenCUDA
  ☆263Updated 7 years ago
• MegEngine / MegCC
  MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器
  ☆486Updated 9 months ago