gengala / egncaLinks
Official implementation of E(n)-equivariant Graph Neural Cellular Automata
☆29Updated last year
Alternatives and similar repositories for egnca
Users that are interested in egnca are comparing it to the libraries listed below
Sorting:
- The Energy Transformer block, in JAX☆57Updated last year
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆22Updated last month
- Deep Networks Grok All the Time and Here is Why☆37Updated last year
- Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…☆24Updated 9 months ago
- Meta-learning inductive biases in the form of useful conserved quantities.☆37Updated 2 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Updated 2 years ago
- ☆39Updated 3 years ago
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Updated 3 years ago
- ☆34Updated 3 years ago
- Generative cellular automaton-like learning environments for RL.☆19Updated 5 months ago
- ☆35Updated 3 months ago
- Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"☆31Updated last year
- Differentiable Euler Characteristic Transform☆17Updated last year
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆72Updated 2 years ago
- ☆49Updated last month
- ☆12Updated last year
- ☆26Updated 2 years ago
- Neural Optimal Transport with Lagrangian Costs☆56Updated last month
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- Official implementation of the NeurIPS 2023 paper "Discovering General Reinforcement Learning Algorithms with Adversarial Environment Des…☆30Updated last year
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆19Updated 4 years ago
- Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling☆29Updated last year
- ☆24Updated last year
- Code for minimum-entropy coupling.☆32Updated last year
- ☆13Updated 2 years ago
- ☆15Updated 2 years ago
- Automatically generate simple meta-learning tasks from a very large space☆15Updated last year
- ☆38Updated 2 years ago
- Supplementary Data for Evolving Reinforcement Learning Algorithms☆46Updated 4 years ago
- Pytorch implementation of a simple way to enable (Stochastic) Frame Averaging for any network☆50Updated 11 months ago