Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.
Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
Code accompanying "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).