debOliveira's Stars
orf/gping
Ping, but with a graph
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
pdm-project/pdm
A modern Python package and dependency manager supporting the latest PEP standards
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
pykeen/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
PRBonn/kiss-icp
A LiDAR odometry pipeline that just works
DoongLi/awesome-Implicit-NeRF-SLAM
A comprehensive list of Implicit Representations, NeRF and 3D Gaussian Splatting papers relating to SLAM/Robotics domain, including papers, videos, codes, and related websites
benedekrozemberczki/graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
PyGCL/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning
MIT-SPARK/Hydra
Sujit-O/pykg2vec
Python library for knowledge graph embedding and representation learning.
mit-han-lab/spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
lucidrains/egnn-pytorch
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
antao97/PointCloudDatasets
3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
Hub-Tian/Awesome-3D-Detectors
Paperlist of awesome 3D detection methods
PJLab-ADG/OpenPCSeg
OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
gisbi-kim/nano-pgo
For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation
kxhit/SG_PR
Implementation of IROS20 paper - "Semantic Graph Based Place Recognition for 3D Point Clouds"
haoyu94/RoITr
Rotation-Invariant Transformer for Point Cloud Matching
qbxlvnf11/graph-neural-networks-for-graph-classification
Pytorch implementation of various Graph Neural Networks (GNNs) for graph classification
shrimo/SLAMBox
Education, research and development using the Simultaneous Localization and Mapping (SLAM) method.
wangyida/softpool
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification - ECCV 2020 oral
cszyzhang/riconv2
The official source codes for the riconv++ (IJCV2022) paper
Yioutpi/Awesome-3D-Understanding
tum-esm/em27-retrieval-pipeline
automated EM27 data processing
tum-esm/utils
Python utilities for our research group
wdttt/LocoTrans