Pinned Repositories
BoxeR
Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dl_ex3
DTN
eladb3.github.io
GCMC-Pytorch-dgl
A Pytorch implementation of GCMC model with Deep Graph Library (DGL). The user-item bipartite graph is built using dgl-heterogeneouss Graph
kill_loop_script
ORViT
"Object-Region Video Transformers”, Herzig et al., CVPR 2022
SViT
"Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens”, Ben-Avraham et al., NeurIPS 2022
eladb3's Repositories
eladb3/ORViT
"Object-Region Video Transformers”, Herzig et al., CVPR 2022
eladb3/SViT
"Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens”, Ben-Avraham et al., NeurIPS 2022
eladb3/kill_loop_script
eladb3/BoxeR
Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"
eladb3/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
eladb3/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
eladb3/dl_ex3
eladb3/DTN
eladb3/eladb3.github.io
eladb3/GCMC-Pytorch-dgl
A Pytorch implementation of GCMC model with Deep Graph Library (DGL). The user-item bipartite graph is built using dgl-heterogeneouss Graph
eladb3/lvu
eladb3/Tuning-Fork-3D
eladb3/seq2seq_coref
eladb3/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
eladb3/structured_GAN