tensorrtx VS LibtorchTutorials

Compare tensorrtx vs LibtorchTutorials and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
tensorrtx LibtorchTutorials
3 1
6,584 667
- -
8.4 0.0
6 days ago over 2 years ago
C++ C++
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

tensorrtx

Posts with mentions or reviews of tensorrtx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-06.
  • A Three-pronged Approach to Bringing ML Models Into Production
    1 project | dev.to | 6 Jul 2022
    In terms of the latter, this is quite common when employing non-standard SOTA models. You may discover a variety of TensorRT implementations on the web if you want to use popular models—for example, in the project where we needed to train an object-detection algorithm on Rutorch and deploy it on Triton, we used many cases of PyTorch -> TensorRT -> Triton. The implementation of the model on TensoRT was taken from here. You may also be interested in this repository, as it contains many current implementations supported by developers.
  • Dall-E 2
    16 projects | news.ycombinator.com | 6 Apr 2022
    I'll try them out. I have an RTX 2070, which apparently supports fp16. But it only has 8GB RAM.

    I used the instructions here to check: https://github.com/wang-xinyu/tensorrtx/blob/master/tutorial...

  • Increasing usb cam FPS with Yolov5 on a Jetson Xavier NX?
    1 project | /r/computervision | 8 Jul 2021
    Optimize your model using TensorRT. There is a good implementation here: https://github.com/wang-xinyu/tensorrtx/tree/master/yolov5

LibtorchTutorials

Posts with mentions or reviews of LibtorchTutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-23.

What are some alternatives?

When comparing tensorrtx and LibtorchTutorials you can also consider the following projects:

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

SegmentationCpp - A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

tensorflow-yolov4-tflite - YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

yolo-tensorrt - TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

v-diffusion-pytorch - v objective diffusion inference code for PyTorch.

Drogon-torch-serve - Serve pytorch / torch models using Drogon

dalle-mini - DALL·E Mini - Generate images from a text prompt

torchRL - TorchRL is a C++ reinforcement library using PyTorch C++ backend LibTorch

dalle-2-preview

muzero-cpp - A C++ pytorch implementation of MuZero

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration