Alternatives and similar repositories for controllable-ncas

Users that are interested in controllable-ncas are comparing it to the libraries listed below

• enajx / HyperNCA
  ☆41Updated 3 years ago
• crowsonkb / dice-mc
  DiCE: The Infinitely Differentiable Monte-Carlo Estimator
  ☆32Updated 2 years ago
• jennyzzt / omni
  OMNI: Open-endedness via Models of human Notions of Interestingness
  ☆57Updated 10 months ago
• kvfrans / powderworld
  Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions
  ☆71Updated last year
• rasmusbergpalm / vnca
  ☆56Updated 2 years ago
• gisilvs / AEF
  ☆33Updated 2 years ago
• lucidrains / GAF-microbatch-pytorch
  Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch
  ☆25Updated 10 months ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆106Updated 2 years ago
• smearle / autoverse
  Generative cellular automaton-like learning environments for RL.
  ☆19Updated 10 months ago
• matthias-wright / jax-fid
  FID computation in Jax/Flax.
  ☆29Updated last year
• AllanYangZhou / universal_neural_functional
  ☆53Updated last year
• crowsonkb / consistency-models
  A JAX implementation of the continuous time formulation of Consistency Models
  ☆85Updated 2 years ago
• crowsonkb / esgd
  ESGD-M is a stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch.
  ☆56Updated 3 years ago
• crowsonkb / LDLM
  Latent Diffusion Language Models
  ☆70Updated 2 years ago
• real-itu / 3d-artefacts-nca
  Offical code for the paper: "Growing 3D Artefacts and Functional Machines with Neural Cellular Automata" https://arxiv.org/abs/2103.08737
  ☆76Updated 3 years ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆38Updated last year
• cfoster0 / simple-diffusion-model
  Pedagogical codebase for a simplified score-based generative model design, with training loop
  ☆40Updated 4 years ago
• ColinQiyangLi / AdaCat
  AdaCat
  ☆49Updated 3 years ago
• lucidrains / holodeck-pytorch
  Implementation of a holodeck, written in Pytorch
  ☆18Updated 2 years ago
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆77Updated 2 years ago
• Z-T-WANG / LaProp-Optimizer
  Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"
  ☆29Updated 5 years ago
• lucidrains / metaformer-gpt
  Implementation of Metaformer, but in an autoregressive manner
  ☆26Updated 3 years ago
• dvruette / barrel-rec-pytorch
  ☆53Updated last year
• attentionneuron / attentionneuron.github.io
  ☆26Updated 3 years ago
• louiskirsch / vsml-neurips2021
  Code for "Meta Learning Backpropagation And Improving It" @ NeurIPS 2021 https://arxiv.org/abs/2012.14905
  ☆33Updated 3 years ago
• kuprel / min-dalle-flax
  This contains the Flax model of min(DALL·E) and code for converting it to PyTorch
  ☆45Updated 3 years ago
• lucidrains / spline-based-transformer
  Implementation of the proposed Spline-Based Transformer from Disney Research
  ☆105Updated last year
• kampta / PatchGame
  PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021
  ☆24Updated 4 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆60Updated 3 years ago
• Snagnar / Hieros
  Implemenation of the HIERarchical imagionation On Structured State Space Sequence Models (HIEROS) paper
  ☆20Updated last year