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:
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆59Updated 3 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆45Updated 6 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 5 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆50Updated 3 months ago
- Understanding RL vision Distill article☆24Updated 2 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
- Code for Neural Execution Engines: Learning to Execute Subroutines☆17Updated 4 years ago
- ☆45Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆80Updated last year
- Reward Learning by Simulating the Past☆45Updated 6 years ago
- Neural Turing Machines in Pytorch.☆46Updated 6 years ago
- 📰 Computing the information content of trained neural networks☆21Updated 3 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- Interactive demos describing the main concepts behind GFlowNets☆11Updated last year
- Privacy-Preserving Bandits (MLSys'20)☆22Updated 2 years ago
- Neural Turing Machines in pytorch☆48Updated 3 years ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆33Updated 3 years ago
- Variational Reinforcement Learning☆16Updated last year
- A centralized place for deep thinking code and experiments☆86Updated 2 years ago
- Official implementation of the AAAI 2021 paper Deep Bayesian Quadrature Policy Optimization.☆17Updated 4 years ago
- Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"☆84Updated 2 years ago
- Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural netwo…☆72Updated 2 months ago
- PyTorch implementation of "Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets"☆37Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆31Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Code for the NeurIPS 2021 paper "Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networkst"☆14Updated 3 years ago
- The Energy Transformer block, in JAX☆59Updated last year