bknyaz's Stars
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
rtqichen/torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
deepchem/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
rkern/line_profiler
(OLD REPO) Line-by-line profiling for Python - Current repo ->
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
wkentaro/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
facebookresearch/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
mdeff/cnn_graph
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
xingyizhou/ExtremeNet
Bottom-up Object Detection by Grouping Extreme and Center Points
williamleif/graphsage-simple
Simple reference implementation of GraphSAGE.
sungyongs/graph-based-nn
Graph Convolutional Networks (GCNs)
AMLab-Amsterdam/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
jnhwkim/ban-vqa
Bilinear attention networks for visual question answering
clcarwin/convert_torch_to_pytorch
Convert torch t7 model to pytorch model and source.
tscohen/GrouPy
Group Equivariant Convolutional Neural Networks
lrjconan/LanczosNetwork
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
xbresson/spectral_graph_convnets
PyTorch implementation of spectral graph ConvNets, NeurIPS’16
shagunsodhani/Graph-Reading-Group
Weekly reading group on Graphs at Mila
distillpub/post--momentum
Why Momentum Really Works
rowanz/swagaf
Repository for paper "SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference"
mbchang/dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
mjhucla/Google_Refexp_toolbox
The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283
Octavian-ai/clevr-graph
CLEVR graph: A dataset for graph based reasoning
Octavian-ai/mac-graph
The MacGraph network. An attempt to get MACnets running on graph knowledge
jiangzhongshi/SurfaceNetworks
Source code for CVPR 2018 Oral paper "Surface Networks"
horacepan/gnns
Collection of graph neural networks in pytorch
aelnouby/Relational-Networks
Pytorch implementation of " A simple neural network module for relational reasoning" paper aka Relational networks for visual reasoning.
mveres01/hpc-demo
Files used for a workshop on using Compute Canada HPC resources