IuliaDuta / RSTGLinks
☆39Updated 5 years ago
Alternatives and similar repositories for RSTG
Users that are interested in RSTG are comparing it to the libraries listed below
Sorting:
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated last year
- This repository has moved to: https://github.com/tkipf/c-swm☆27Updated 5 years ago
- SimCLR pytorch implementation using DistributedDataParallel.☆24Updated 2 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 6 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- A modified version of Spatial Transformer Networks to attend regions on the input image.☆45Updated 2 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video☆42Updated 2 years ago
- Implementation of Sum-Product Attend-Infer-Repeat☆31Updated 5 years ago
- Mining on Manifolds (CVPR 2018)☆33Updated 3 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆124Updated 7 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- Learning To Stop While Learning To Predict☆34Updated 3 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Reproduction work of "Neural Relational Inference for Interacting Systems" in Chainer☆34Updated 6 years ago
- ☆35Updated 6 years ago
- PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"☆59Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆93Updated 6 years ago
- Repository for hosting the code for the CVPR 2020 paper Differentiable Adaptive Computation Time for Visual Reasoning.☆14Updated 5 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 6 years ago
- Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"☆50Updated 7 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 7 years ago
- ☆20Updated 7 years ago