ros_deep_learning
Deep learning inference nodes
A set of ROS/ROS2 nodes for deep learning inference on NVIDIA devices
Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT
907 stars
36 watching
259 forks
Language: C++
last commit: over 1 year ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | Provides tools and libraries for training intelligent agents to perform complex tasks in robotics using deep reinforcement learning and GPU acceleration. | 891 |
| | A deep learning library for Rust with GPU acceleration and ergonomic API. | 1,754 |
| | A ROS wrapper for NCNN, allowing developers to integrate high-performance neural network inference into ROS projects | 63 |
| | A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
| | A deep learning framework for 3D object detection from RGB-D data | 1,598 |
| | A ROS node implementing a probabilistic localization system using 3D LIDAR data and odometry | 504 |
| | Estimates object poses and positions in 3D space from RGB images | 1,031 |
| | Developing deep learning models for Earth Observation using remote sensing images | 477 |
| | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
| | Generates synthetic images and associated data for training deep learning models | 574 |
| | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
| | A header-only C++ library for training and deploying deep neural networks on embedded systems | 49 |
| | An experiment with various deep learning libraries and frameworks on images and time series data | 162 |
| | A deep learning framework on top of PyTorch for building neural networks. | 61 |
| | A toolbox for building and training deep neural networks in Matlab | 70 |