BorealisAI / lite_tracerLinks
a light weight experiment reproducibility toolset
☆40Updated 4 years ago
Alternatives and similar repositories for lite_tracer
Users that are interested in lite_tracer are comparing it to the libraries listed below
Sorting:
- learning to search in pytorch☆110Updated 5 years ago
- Basic experiment framework for tensorflow.☆91Updated 4 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 9 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆190Updated last year
- Code for the paper "Learning sparse transformations through backpropagation"☆43Updated 5 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 7 years ago
- Code for "Systematic Generalization: What Is Required and Can It Be Learned"☆37Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- ☆26Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- SparseMAP: differentiable sparse structure inference☆112Updated 6 years ago
- ☆45Updated 5 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Updated 7 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆108Updated 2 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 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
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 2 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- [ICLR 2019] Learning Representations of Sets through Optimized Permutations☆36Updated 6 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago