Stars
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Visual localization made easy with hloc
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Papers and Datasets about Point Cloud.
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and rela…
SECOND for KITTI/NuScenes object detection
Computations and statistics on manifolds with geometric structures.
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
[ICCV 2023 & ICLR 2026] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Implementations of selected inverse reinforcement learning algorithms.
erlerobot / gym-gazebo
Forked from openai/gymRefer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Reinforcement learning with unsupervised auxiliary tasks
[CVPR2020] Learning multiview 3D point cloud registration
Neural networks toolbox focused on medical image analysis
