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An Open Source Machine Learning Framework for Everyone
Cross-platform, customizable ML solutions for live and streaming media.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
A toolkit for making real world machine learning and data analysis applications in C++
a small build system with a focus on speed
An open source library for face detection in images. The face detection speed can reach 1000FPS.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
Implementation of popular deep learning networks with TensorRT network definition API
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
The Kalibr visual-inertial calibration toolbox
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
OpenMM is a toolkit for molecular simulation using high performance GPU code.
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
Open Babel is a chemical toolbox designed to speak the many languages of chemical data.
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.
Deep learning inference nodes for ROS / ROS2 with support for NVIDIA Jetson and TensorRT
Deep reinforcement learning GPU libraries for NVIDIA Jetson TX1/TX2 with PyTorch, OpenAI Gym, and Gazebo robotics simulator.
Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.
SoftGym is a set of benchmark environments for deformable object manipulation.
GEM: Online Globally consistent dense elevation mapping for unstructured terrain.
[CVPR 2022] Codebase for "Coupling Vision and Proprioception for Navigation of Legged Robots"