uber-research / Synthetic-Petri-DishLinks
☆42Updated 5 years ago
Alternatives and similar repositories for Synthetic-Petri-Dish
Users that are interested in Synthetic-Petri-Dish are comparing it to the libraries listed below
Sorting:
- ☆79Updated 5 years ago
- ☆45Updated 6 years ago
- A lightweight library for tensorflow 2.0☆65Updated 6 years ago
- ☆61Updated 2 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆23Updated 5 years ago
- ☆80Updated 2 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆61Updated 5 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- A Curated Set of Papers Actually Worth Reading☆26Updated 4 years ago
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 6 years ago
- Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.☆35Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Updated 6 years ago
- ☆25Updated last year
- A framework for implementing equivariant DL☆10Updated 4 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 6 years ago
- Boiler plate code for Torch based ML projects☆10Updated 4 years ago
- Python implementation of GLN in different frameworks☆96Updated 5 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Graph Nets in pytorch☆27Updated 3 years ago
- Browse the CS/AI/ML research paper graph☆51Updated 2 years ago
- ☆104Updated 5 years ago
- Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)☆147Updated 4 years ago
- The Concept Bottleneck Shift Detection (CBSD) methods for explaining and detecting various dataset shifts.☆14Updated 4 years ago
- Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…☆17Updated 6 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆148Updated 2 years ago
- Functional machine learning for fun☆85Updated 4 years ago