hawkinglai's Stars
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.
cvlab-columbia/hyperfuture
Code for the paper Learning the Predictability of the Future (CVPR 2021)
JamesClough/topograd
Topological Priors for Image segmentation
yuki3-18/Topological-DVAE
An implementation of Denoising Variational AutoEncoder with Topological loss
GuanghuiFU/TopologyLoss
louaaron/TopologicalDeepLearning
A collection of Topology Methods in Deep Learning
lrnzgiusti/awesome-topological-deep-learning
A curated list of topological deep learning (TDL) resources and links.
giotto-ai/giotto-deep
Deep learning made topological.
pyt-team/TopoModelX
Topological Deep Learning
giotto-ai/giotto-tda
A high-performance topological machine learning toolbox in Python
topnn/topnn_framework
gjkoplik/topology-demos
explanation / demos of topology concepts
iyytdeed/Automatic-Modulation-Classification
Some Code for Master Thesis - Research on Deep Learning Based Modulation Recognition Technologies
jeanfeydy/monaco
bruel-gabrielsson/TopologyLayer
A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
TeaspoonTDA/teaspoon
Topological Signal Processing in Python
COMP6248-Reproducability-Challenge/Topological-CNN
Implementation of the Topological Convolution Neural Network described in https://openreview.net/forum?id=hntbh8Zo1V
HiddenBeginner/cnntdanet_gradcam
Author's implementation of the paper "The Effects of Topological Features on Convolutional Neural Networks – An explanatory analysis via Grad-CAM"
BorgwardtLab/TOGL
Topological Graph Neural Networks (ICLR 2022)
aidos-lab/pytorch-topological
A topological machine learning framework based on PyTorch
junhocho/HGCAE
HGCAE Pytorch implementation. CVPR2021 accepted.
leymir/hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
Raymond-sci/PICA
Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
k3larra/IKR
"When Can I Trust It?" Contextualising Explainability Methods for Classifiers
sony/nnabla-examples
Neural Network Libraries https://nnabla.org/ - Examples
Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
ultralytics/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
marcellodebernardi/loss-landscapes
Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
theSage21/lorentz-embeddings
Embed arbitrary graphs in Hyperbolic space