ServiceNow / synbolsLinks
The Synbols dataset generator is a ServiceNow Research project that was started at Element AI.
☆45Updated 2 years ago
Alternatives and similar repositories for synbols
Users that are interested in synbols are comparing it to the libraries listed below
Sorting:
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- TBA☆77Updated 6 years ago
- Computing various norms/measures on over-parametrized neural networks☆50Updated 7 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 7 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- ☆28Updated 6 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago
- Code/figures in Right for the Right Reasons☆57Updated 5 years ago
- Lagrangian VAE☆28Updated 7 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Make quick mechanical turk HTML/Javascript interfaces and launch them with Python functions☆41Updated 4 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- a python implementation of various versions of the information bottleneck, including automated parameter searching☆132Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088