Phoenix's repositories
A-White-Paper-on-Neural-Network-Deployment
模型部署白皮书(CUDA|ONNX|TensorRT|C++)🚀🚀🚀
BEVFusion-ROS-TensorRT
BEVFusion-ROS-TensorRT-CPP Real time inference including ros1 & ros2
cs-self-learning
计算机自学指南
CUDATutorial-
A CUDA tutorial to make people learn CUDA program from 0
cuPCL-NVIDIA-
A project demonstrating how to use the libs of cuPCL.
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 basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
Keras
Deep Learning with Keras
pcl-learning
🚀🚀🚀🚀PCL（Point Cloud Library）点云库学习记录
pytorch-MNIST-CelebA-GAN-DCGAN
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
tensorrt_starter
This repository give a guidline to learn CUDA and TensorRT from the beginning.
ORB_SLAM2-
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
StereoAlgorithms-
Stereo Algorithms (Include:CREStereo,RAFT-Stereo,Hitnet,FastACVNet_plus,Stereo Transformers,RealtimeStereo,DistDepth) with TensorRT,ORT,OpenVINO
TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
yolov5XXX
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite