hawkinglai's Stars
martinroyer/atol
package for ATOL: Automatic Topologically-Oriented Learning
MathieuCarriere/perslocsig
Local signatures for 3D shapes with persistent homology
MinaGhadimiAtigh/hyperbolic_representation_learning
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
luijait/DarkGPT
DarkGPT is an OSINT assistant based on GPT-4-200K (recommended use) designed to perform queries on leaked databases, thus providing an artificial intelligence assistant that can be useful in your traditional OSINT processes.
lambdaxymox/stanford-cs233-spring-2015-2016
CS233: Geometric And Topological Data Analysis Spring 2016.
optas/cs233_gtda_hw4
Fourth Assignment of CS233, Geometric & Topological Data Analysis@Stanford (starter code).
simonzhang00/ripser-plusplus
Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
ZrrSkywalker/Point-NN
[CVPR 2023] Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
FatemehTarashi/awesome-tda
A curated list of topological data analysis (TDA) resources and links.
GUDHI/TDA-tutorial
A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.
rolan2kn/TDABC-4-ADAC
Source code for the paper A TDA based classifier. Send it to Advances in Data analysis and classification
scikit-tda/scikit-tda
Topological Data Analysis for Python🐍
sato9hara/sgd-influence
Python codes for influential instance estimation
TheCrossProduct/HPCS
Hierarchical Point Cloud Segmentation
Marsrocky/Awesome-WiFi-CSI-Sensing
A list of awesome papers and cool resources on WiFi CSI sensing.
wuzhiguocarter/Awesome-WiFi-CSI-Research
Accelerate your WiFi CSI research progress by sharing and cooperation!
xyanchen/WiFi-CSI-Sensing-Benchmark
HammerLabML/LocalModelAgnosticExamplebasedExplanationsReject
"'I do not Know! But Why?' -- Local Model-Agnostic Example-based Explanations of Reject" by André Artelt, Roel Visser and Barbara Hammer
julian-8897/hyperbolic_vae
Variational Autoencoder with non-euclidean (hyperbolic) latent space
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
manzilzaheer/DeepSets
giannisnik/repset
Rep the Set: Neural Networks for Learning Set Representations
antao97/dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
WangYueFt/dgcnn
cachelack/Topological-Hidden-Markov-Model
R code for fitting a, so called, Topological-HMM to data living in a Cameron-Martin space
awesome-tnns/awesome-tnns
fhaase2/torchgist
Ported some papers/algorithms to PyTorch
alibaba/Curvature-Learning-Framework
Curvlearn, a Tensorflow based non-Euclidean deep learning framework.
marlin-codes/Awesome-Hyperbolic-Representation-and-Deep-Learning
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
maxvanspengler/hyperbolic_learning_library
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.