| github/CodeSearchNet |
2,054 |
|
0 |
0 |
about 4 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Datasets, tools, and benchmarks for representation learning of code. |
| Sujit-O/pykg2vec |
294 |
|
0 |
0 |
almost 5 years ago |
26 |
December 23, 2020 |
14 |
mit |
Python |
| Python library for knowledge graph embedding and representation learning. |
| deepmind/multi_object_datasets |
151 |
|
0 |
0 |
over 4 years ago |
0 |
|
6 |
apache-2.0 |
Python |
| Multi-object image datasets with ground-truth segmentation masks and generative factors. |
| jmtomczak/vae_vampprior |
151 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
mit |
Python |
| Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling |
| nmichlo/disent |
87 |
|
0 |
0 |
about 3 years ago |
34 |
November 07, 2022 |
14 |
mit |
Python |
| 🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib |
| FlorentF9/DESOM |
84 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| :globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization |
| THUDM/MCNS |
80 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
|
Python |
| Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning" |
| bxshi/ConMask |
77 |
|
0 |
0 |
about 7 years ago |
0 |
|
6 |
mit |
Python |
| ConMask model described in paper Open-world Knowledge Graph Completion. |
| ehsanik/dogTorch |
64 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Who Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf |
| johnarevalo/gmu-mmimdb |
62 |
|
0 |
0 |
about 3 years ago |
0 |
|
0 |
mit |
Python |
| Source code for training Gated Multimodal Units on MM-IMDb dataset |
