NVIDIA / trt-samples-for-hackathon-cnLinks
Simple samples for TensorRT programming
☆1,651Updated this week
Alternatives and similar repositories for trt-samples-for-hackathon-cn
Users that are interested in trt-samples-for-hackathon-cn are comparing it to the libraries listed below
Sorting:
- PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.☆1,778Updated last year
- ☆1,046Updated last year
- ☆310Updated 3 years ago
- C++ library based on tensorrt integration☆2,850Updated 2 years ago
- A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.☆1,599Updated 2 months ago
- ONNX-TensorRT: TensorRT backend for ONNX☆3,175Updated 2 months ago
- OpenMMLab Model Deployment Framework☆3,094Updated last year
- Several simple examples for popular neural network toolkits calling custom CUDA operators.☆1,527Updated 4 years ago
- A primitive library for neural network☆1,368Updated last year
- ☆2,659Updated 2 years ago
- how to optimize some algorithm in cuda.☆2,769Updated this week
- Deploy your model with TensorRT quickly.☆764Updated 2 years ago
- CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.☆2,636Updated 2 months ago
- Sample codes for my CUDA programming book☆1,977Updated last month
- Simplify your onnx model☆4,272Updated last week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,920Updated this week
- Model Quantization Benchmark☆855Updated 8 months ago
- TensorRT 7 C++ (almost) minimal examples☆84Updated 2 years ago
- ppl.cv is a high-performance image processing library of openPPL supporting various platforms.☆513Updated last year
- Parallel programming tutorials☆638Updated 4 years ago
- This repository give a guidline to learn CUDA and TensorRT from the beginning.☆306Updated 11 months ago
- TensorRT Plugin Autogen Tool☆367Updated 2 years ago
- compiler learning resources collect.☆2,663Updated 10 months ago
- This is a Chinese translation of the CUDA programming guide☆1,819Updated last year
- A new tensorrt integrate. Easy to integrate many tasks☆447Updated 2 years ago
- TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.☆862Updated 3 weeks ago
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,222Updated 2 years ago
- This is a code repository for pytorch c++ (or libtorch) tutorial.☆828Updated 4 years ago
- A CUDA tutorial to make people learn CUDA program from 0☆266Updated last year
- ☆622Updated last month