shyamsn97 / controllable-ncas
Code for "Goal-Guided Neural Cellular Automata: Learning to Control Self-Organising Systems"
☆55Updated 2 years ago
Alternatives and similar repositories for controllable-ncas:
Users that are interested in controllable-ncas are comparing it to the libraries listed below
- ☆37Updated 2 years ago
- ☆48Updated 2 years ago
- OMNI: Open-endedness via Models of human Notions of Interestingness☆42Updated 3 weeks ago
- Cellular Automata Accelerated in JAX (Oral at ICLR 2025).☆81Updated 3 months ago
- Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905☆31Updated 3 years ago
- DiCE: The Infinitely Differentiable Monte-Carlo Estimator☆31Updated last year
- OpenAI gym environment for evolving morphologies of 2D virtual creatures.☆33Updated last year
- ☆33Updated last year
- Code for the paper, "First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization"☆25Updated 2 years ago
- Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions☆65Updated 5 months ago
- Easy Hypernetworks in Pytorch and Jax☆97Updated 2 years ago
- Offical code for the paper: "Growing 3D Artefacts and Functional Machines with Neural Cellular Automata" https://arxiv.org/abs/2103.08737☆69Updated 3 years ago
- Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …☆69Updated last year
- Deep Networks Grok All the Time and Here is Why☆27Updated 9 months ago
- Generative cellular automaton-like learning environments for RL.☆19Updated 3 weeks ago
- flexible meta-learning in jax☆12Updated last year
- FID computation in Jax/Flax.☆27Updated 7 months ago
- Repository for "Toward Artificial Open-Ended Evolution within Lenia using Quality-Diversity" (ALIFE 2024).☆17Updated 7 months ago
- ☆49Updated last year
- Extended experiments of "Growing Neural Cellular Automata" https://distill.pub/2020/growing-ca/☆96Updated last year
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆23Updated 3 weeks ago
- Pedagogical codebase for a simplified score-based generative model design, with training loop☆39Updated 3 years ago
- ☆32Updated 5 months ago
- AdaCat☆49Updated 2 years ago
- ☆28Updated 3 years ago
- Flax (JAX) implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation☆12Updated 3 years ago
- ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.☆56Updated 2 years ago
- ☆33Updated 5 months ago
- A simple hypernetwork implementation in jax using haiku.☆23Updated 2 years ago
- ☆15Updated 2 years ago