anirudh9119 / RIMsLinks
Code for "Recurrent Independent Mechanisms"
☆118Updated 3 years ago
Alternatives and similar repositories for RIMs
Users that are interested in RIMs are comparing it to the libraries listed below
Sorting:
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆100Updated 3 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆127Updated 6 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Memory efficient MAML using gradient checkpointing☆84Updated 5 years ago
- Automatically Composing Representation Transformations as a Means for Generalization☆24Updated 6 years ago
- Implementation of Bidirectional Recurrent Independent Mechanisms (Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural …☆28Updated 4 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- ☆15Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆103Updated 4 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Updated 6 years ago
- Grounded SCAN data set.☆69Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 3 years ago
- ☆77Updated 2 months ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- ☆66Updated 4 years ago
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆58Updated 3 years ago
- Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation☆19Updated 3 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"☆14Updated 4 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆70Updated 4 years ago
- ☆78Updated 4 years ago
- Hypergradient descent☆148Updated last year
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 5 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago