Alternatives and similar repositories for ffn

Users that are interested in ffn are comparing it to the libraries listed below

• google-deepmind / dm_hamiltonian_dynamics_suite
  ☆36Updated 4 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆38Updated 3 years ago
• zchuning / latco
  Model-Based Reinforcement Learning via Latent-Space Collocation.
  ☆34Updated 2 years ago
• suraj-nair-1 / goal_aware_prediction
  Code for Goal-Aware Prediction: Learning to Model what Matters
  ☆20Updated 5 years ago
• fortyfive-labs / jaynes-starter-kit
  a starter-kit for jaynes, the cloud-agnostic launch library
  ☆17Updated last year
• libeanim / contact-symplectic-integrator-network
  Contact-Aware Symplectic Integrator Network
  ☆16Updated 2 years ago
• DrewSosa / dissipative_hnns
  Training neural networks to disentangle conservative and dissipative dynamics
  ☆12Updated 4 years ago
• facebookresearch / entity-factored-rl
  Source code for the paper "Policy Architectures for Compositional Generalization in Control"
  ☆30Updated 3 years ago
• DesmondZhong / Lagrangian_caVAE
  Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
  ☆20Updated 3 years ago
• fdeng18 / dreamer-pro
  ☆36Updated 3 years ago
• tristandeleu / jax-comln
  Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
  ☆25Updated 3 years ago
• StoneT2000 / trajectorytranslation
  Code for Abstract-to-Executable Trajectory Translation for One Shot Task Generalization (ICML 2023)
  ☆23Updated 2 years ago
• Physics-aware-AI / Symplectic-ODENet
  ☆47Updated 5 years ago
• Yusufma03 / CVRL
  code for CoRL 2020 paper "Contrastive Variational Model-Based Reinforcement Learning for Complex Observations"
  ☆24Updated 4 years ago
• kyonofx / tia
  [ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains
  ☆18Updated 4 years ago
• aidanscannell / iqrl
  iQRL: implicitly Quantized Representations for Sample-efficient Reinforcement Learning
  ☆12Updated last year
• holarissun / RewardShifting
  Code for NeurIPS 2022 paper Exploiting Reward Shifting in Value-Based Deep RL
  ☆30Updated 2 years ago
• ZhengyaoJiang / latentplan
  Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.
  ☆111Updated 2 years ago
• oxcsml / lie-transformer
  LieTransformer: Equivariant Self-Attention for Lie Groups
  ☆77Updated last year
• seohongpark / CSD-locomotion
  Controllability-Aware Unsupervised Skill Discovery (ICML 2023)
  ☆28Updated 2 years ago
• tonyzhaozh / meld
  MELD: Meta-Reinforcement Learning from Images via Latent State Models https://arxiv.org/abs/2010.13957
  ☆67Updated 4 years ago
• martius-lab / SMORL
  ☆22Updated 3 years ago
• pairlab / v-cdn
  [NeurIPS 2020] Causal Discovery in Physical Systems from Videos
  ☆82Updated 3 years ago
• NoemieJaquier / GaBOtorch
  This repository contains the source code to perform Geometry-aware Bayesian Optimization (GaBO) on Riemannian manifolds.
  ☆54Updated 4 years ago
• zhaoyizhou1123 / mbrcsl
  ☆12Updated 2 years ago
• sukhijab / maxinforl_jax
  ☆27Updated 3 weeks ago
• seohongpark / METRA
  METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)
  ☆82Updated 2 years ago
• marc-rigter / waker
  Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.
  ☆28Updated 2 years ago
• sail-sg / ILD
  Imitation Learning via Differentiable Physics
  ☆43Updated 3 years ago
• wzhi / ODElearning_INN
  [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks
  ☆10Updated 2 years ago