Prof-pengyin

Complex-YOLO

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

hfnet

From Coarse to Fine: Robust Hierarchical Localization at Large Scale with HF-Net (https://arxiv.org/abs/1812.03506)

.github

GitHub meta repository

A2L

[ICLR 2020] Learning to Move with Affordance Maps 🤖💨🗺️

aleph_star

Reinforcement learning with A* and a deep heuristic

continual-learning-papers

Continual Learning papers list, curated by ContinualAI

cophy

"CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020

DeepMimic

Motion imitation with deep reinforcement learning.

DefRec_and_PCM

Self-Supervised Learning for Domain Adaptation on Point-Clouds

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

hebi-cpp-examples

Examples for the HEBI Robotics C++ API

imu_fuse

maxtomCMU

Intro

mrpt

:zap: The Mobile Robot Programming Toolkit (MRPT)

muzero-general

MuZero

NetVLAD-pytorch

PyTorch implementation of NetVLAD & Online Hardest Triplet Loss.

openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

PointNetLK

realtime-manifold-mesh-reconstructor

Reconstructs a manifold mesh from sparse data in realtime. Sparse data can be obtained in realtime from a sparse feature-based SLAM algorithm.

segmap

A map representation based on 3D segments

snake_ws

ROS workspace with packages for simulated control of the CMU Biorobotics Lab's SEA snake and SEA hexapod (snake monster).

voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.

whynot

A Python sandbox for decision making in dynamics