nerdimite / ntmLinks
A PyTorch Implementation of Neural Turing Machine
☆13Updated 5 years ago
Alternatives and similar repositories for ntm
Users that are interested in ntm are comparing it to the libraries listed below
Sorting:
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 4 months ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆104Updated 5 years ago
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- ☆45Updated last year
- The Energy Transformer block, in JAX☆58Updated last year
- ☆23Updated last year
- A Learnable LSH Framework for Efficient NN Training☆32Updated 4 years ago
- 📰 Computing the information content of trained neural networks☆22Updated 4 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆22Updated 4 years ago
- Building your own autograd mechanism based on PyTorch tensor only (not Variable, can be seen as numpy array)☆22Updated last year
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- Documentation for dynamic machine learning systems.☆29Updated last year
- ☆80Updated 2 years ago
- A Neuromodulated Meta-Learning algorithm☆117Updated 5 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more com…☆32Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆37Updated 3 years ago
- A centralized place for deep thinking code and experiments☆86Updated 2 years ago
- ☆16Updated 3 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.☆17Updated 4 years ago
- unofficial re-implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆79Updated 3 years ago
- ☆13Updated 2 years ago