vqdang's Stars
awesome-selfhosted/awesome-selfhosted
A list of Free Software network services and web applications which can be hosted on your own servers
jw9730/hot
[NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch
snap-stanford/neural-subgraph-learning-GNN
airbnb/visx
🐯 visx | visualization components
vcg-uvic/image-matching-benchmark-baselines
Baselines for the Image Matching Benchmark and Challenge
jdlc105/Must-read-papers-and-continuous-tracking-on-Graph-Neural-Network-GNN-progress
Papers on Graph neural network(GNN)
lucidrains/reformer-pytorch
Reformer, the efficient Transformer, in Pytorch
wvangansbeke/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
mf1024/Contrastive-Predictive-Coding-for-Image-Recognition-in-PyTorch
PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 and https://arxiv.org/abs/1905.09272 .
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
HobbitLong/RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
malllabiisc/CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
DeepMicroscopy/MITOS_WSI_CCMCT
Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images
Gmousse/dataframe-js
No Maintenance Intended
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
holoviz/datashader
Quickly and accurately render even the largest data.
simongraham/cpath_preprocess
Repository for the hands on data wrangling session at 'PathLAKE Data Science for Computational Pathology'
DeepGraphLearning/LiteratureDL4Graph
A comprehensive collection of recent papers on graph deep learning
guildai/guildai
Experiment tracking, ML developer tools
hexidian/Truncating-Primes
The purpose of this repo is to find solutions to the problem posed at 6:51 during this (https://www.youtube.com/watch?v=azL5ehbw_24&list=UUoxcjq-8xIDTYp3uz647V5A&index=3) numberphile video.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
nnzhan/Graph-WaveNet
graph wavenet
hanmenghan/CPM_Nets
The project page of paper: CPM-Nets: Cross Partial Multi-View Networks [NeurIPS 2019 Spotlight paper]
Amandaynzhou/CGC-Net
cell graph convolutional network
analyticalmindsltd/smote_variants
A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features
benhamner/Metrics
Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave
TissueImageAnalytics/TILAb-Score
This repository contains the implementation of TILAb-score as described in the original paper.