niklexical / brc_pytorch
Pytorch implementation of bistable recurrent cell with baseline comparisons.
☆25Updated last year
Related projects: ⓘ
- A repository containing the code for the Bistable Recurrent Cell☆47Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated last year
- Neural Turing Machines in pytorch☆46Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆21Updated 4 years ago
- Implementation of deep implicit attention in PyTorch☆63Updated 3 years ago
- Fast Discounted Cumulative Sums in PyTorch☆95Updated 3 years ago
- A set of useful tools for DL experiments, project templates, etc.☆35Updated 3 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆58Updated 2 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 3 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆66Updated last year
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆23Updated 3 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆47Updated 3 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 2 years ago
- ☆11Updated 4 years ago
- Code for minimum-entropy coupling.☆29Updated 2 months ago
- A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…☆47Updated last year
- ☆49Updated 3 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆50Updated 3 years ago
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Updated last year
- Autoregressive Energy Machines☆77Updated last year
- Lightweight Cluster/Cloud VM Job Management 🚀☆40Updated 3 weeks ago
- ☆27Updated this week
- ☆156Updated 4 years ago
- Code Release for "Broken Neural Scaling Laws" (BNSL) paper☆57Updated 10 months ago
- Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network☆62Updated 3 years ago
- Python implementation of GLN in different frameworks☆94Updated 4 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆47Updated last year
- Normalizing Flows in Jax☆105Updated 4 years ago
- ☆64Updated 4 years ago