nedeljkovignjevic / chessmc

Related projects: ⓘ

• kaustubhsridhar / Constrained_Models
  Official Code for the L4DC 2023 conference paper and ICLR 2023 NeSy-GeMs workshop paper.
  ☆14Updated 11 months ago
• jaem-seo / pinn-optimization
  ☆14Updated last month
• IDSIA / neuraldiffeq-fwp
  Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…
  ☆18Updated last year
• oxcsml / constrained-diffusion
  ☆13Updated last year
• cptq / Sign-Equivariant-Nets
  Expressive Sign Equivariant Networks for Spectral Geometric Learning
  ☆16Updated 7 months ago
• jinPrelude / simple-es
  Simple implementations of multi-agent evolutionary strategies using pytorch.
  ☆15Updated 2 years ago
• vmartinezalvarez / DyNODE
  DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
  ☆23Updated 4 years ago
• Physics-aware-AI / DiffCoSim
  By introducing a differentiable contact model, DiffCoSim extends the applicability of Lagrangian/Hamiltonian-inspired neural networks to …
  ☆30Updated last year
• Jordylek / conformal-decision
  Conformal Decision Theory code
  ☆20Updated 11 months ago
• facebookresearch / lagrangian-ot
  Neural Optimal Transport with Lagrangian Costs
  ☆37Updated 2 months ago
• adaptive-intelligent-robotics / QDAC
  Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …
  ☆12Updated 3 months ago
• marc-rigter / waker
  Official code for "Reward-Free Curricula for Training Robust World Models", ICLR 2024.
  ☆25Updated 7 months ago
• uzulim / hades
  Fast singularity detection with kernel
  ☆32Updated 8 months ago
• vivekmyers / contrastive_metrics
  Code for the paper "Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making"
  ☆20Updated 2 months ago
• Farama-Foundation / CrowdPlay
  A web based platform for collecting human actions in reinforcement learning environments
  ☆26Updated last year
• david-knigge / enf-min-jax
  A minimal implementation of Equivariant Neural Fields (https://arxiv.org/abs/2406.05753).
  ☆13Updated 3 weeks ago
• M3RG-IITD / rigid_body_dynamics_graph
  ☆10Updated last year
• spenrich / Learning-Control-Oriented-Structure
  Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco …
  ☆13Updated 10 months ago
• ivandariojr / LyapunovLearning
  ☆37Updated last year
• yuqingd / cusp
  ☆15Updated 2 years ago
• DatenVorsprung / GoTube
  Scalable stochastic verification of continuous-depth models
  ☆11Updated last year
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆73Updated 9 months ago
• helblazer811 / diffusion-visualizations
  Visualizations of the theory behind diffusion models.
  ☆63Updated 5 months ago
• AhmedImtiazPrio / grok-adversarial
  Deep Networks Grok All the Time and Here is Why
  ☆12Updated 4 months ago
• bhoov / energy-transformer-jax
  The Energy Transformer block, in JAX
  ☆48Updated 9 months ago
• rssalessio / nnGA
  Neural Network Genetic Algorithm library used for deep learning problems
  ☆18Updated 3 years ago
• AnirudhDagar / MessagePassing_for_GNNs
  Experiments with Message Passing GNNs in C++ and PyTorch.
  ☆23Updated last month
• HEmile / a-nesi
  A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
  ☆14Updated last year
• inpefess / gym-saturation
  a collection of Gymnasium environments for saturation provers
  ☆17Updated 2 months ago
• ml-jku / GINNs-Geometry-informed-Neural-Networks
  ☆54Updated 3 months ago