spyt2h
I make sense of data to solve problems. | An Introvert who spends most of her time in front of a screen.
India
Pinned Repositories
compile
CompILE: Compositional Imitation Learning and Execution (ICML 2019)
dimenet
DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)
DocProj
Document Rectification and Illumination Correction using a Patch-based CNN
gdc
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
gemnet_pytorch
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
GeoProj
Blind Geometric Distortion Correction on Images Through Deep Learning
HostG
Graph convolutional neural network for host prediction
Inbetweening
Deep Sketch-guided Cartoon Video Inbetweening
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
pprgo_pytorch
PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
spyt2h's Repositories
spyt2h/compile
CompILE: Compositional Imitation Learning and Execution (ICML 2019)
spyt2h/dimenet
DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)
spyt2h/DocProj
Document Rectification and Illumination Correction using a Patch-based CNN
spyt2h/gdc
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
spyt2h/gemnet_pytorch
GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)
spyt2h/GeoProj
Blind Geometric Distortion Correction on Images Through Deep Learning
spyt2h/HostG
Graph convolutional neural network for host prediction
spyt2h/Inbetweening
Deep Sketch-guided Cartoon Video Inbetweening
spyt2h/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
spyt2h/pprgo_pytorch
PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
spyt2h/pyg_autoscale
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
spyt2h/pygcn
Graph Convolutional Networks in PyTorch
spyt2h/pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
spyt2h/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
spyt2h/pytorch_tabular
A standard framework for modelling Deep Learning Models for tabular data
spyt2h/snap-python
SNAP Python code, SWIG related files
spyt2h/spyt2h
Config files for my GitHub profile.