Alternatives and similar repositories for Brick-by-Brick

Users that are interested in Brick-by-Brick are comparing it to the libraries listed below

• gcucurull / jax-gat
  JAX implementation of Graph Attention Networks
  ☆13Updated 4 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 3 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆17Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆47Updated 2 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆58Updated 4 years ago
• ssnl / poisson_quasimetric_embedding
  Open source code for paper "On the Learning and Learnability of Quasimetrics".
  ☆32Updated 3 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆51Updated 7 months ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 5 years ago
• stanfordmlgroup / disentanglement
  Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology
  ☆36Updated 4 years ago
• aaronwalsman / ltron
  ☆64Updated last year
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆45Updated last year
• brandontrabucco / design-baselines
  Baselines for Model-Based Optimization
  ☆55Updated 4 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 7 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 3 years ago
• facebookresearch / neural-scs
  Neural Fixed-Point Acceleration for Convex Optimization
  ☆29Updated 3 years ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆13Updated 2 years ago
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆48Updated 2 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 5 years ago
• choidami / sst
  ☆50Updated 5 years ago
• seuqaj114 / paig
  Code for the paper Physics-as-Inverse-Graphics: Joint Unsupervised Learning of Objects and Physics from Video
  ☆41Updated 2 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• facebookresearch / dcem
  The Differentiable Cross-Entropy Method
  ☆124Updated 5 years ago
• tristandeleu / jax-comln
  Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
  ☆25Updated 3 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆69Updated 3 years ago
• google-deepmind / affordances_option_models
  ☆22Updated 4 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 3 years ago
• facebookresearch / gwil
  Cross-Domain Imitation Learning via Optimal Transport
  ☆25Updated 3 years ago
• ling-pan / GAFN
  ☆25Updated last year
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆39Updated 3 years ago