Alternatives and similar repositories for poisson_quasimetric_embedding

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

• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆46Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• quasimetric-learning / torch-quasimetric
  PyTorch Package For Quasimetric Learning
  ☆44Updated last year
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 2 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆66Updated 3 years ago
• yilundu / irem_code_release
  ICML 2022: Learning Iterative Reasoning through Energy Minimization
  ☆48Updated 2 years ago
• facebookresearch / meta-ot
  Meta Optimal Transport
  ☆104Updated 2 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆28Updated 4 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 3 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆50Updated 5 months ago
• brentyi / minGPT-flax
  GPT implementation in Flax
  ☆18Updated 3 years ago
• facebookresearch / ssorl
  Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
  ☆43Updated 2 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆57Updated 4 years ago
• facebookresearch / denoised_mdp
  Open source code for paper "Denoised MDPs: Learning World Models Better Than the World Itself"
  ☆135Updated 2 years ago
• yuqingd / cusp
  ☆15Updated 3 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆57Updated 3 years ago
• xingchenwan / bgpbt
  [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)
  ☆29Updated 3 years ago
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆21Updated last year
• hengyuan-hu / jax-vs-pytorch
  ☆13Updated 8 months ago
• brendel-group / compositional-ood-generalization
  Official code for the paper "Compositional Generalization from First Principles" (NeurIPS 2023)
  ☆13Updated 2 years ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆45Updated 3 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• google-deepmind / dm_nevis
  NEVIS'22: Benchmarking the next generation of never-ending learners
  ☆102Updated 2 years ago
• zhixuan-lin / G-SWM
  Official PyTorch implementation of "Improving Generative Imagination in Object-Centric World Models"
  ☆37Updated 2 years ago
• choidami / sst
  ☆50Updated 5 years ago
• minyoungg / overparam
  ☆42Updated 2 years ago
• geyang / plan2vec
  Public Release of Plan2vec Implementation in pyTorch
  ☆57Updated 3 years ago
• google-deepmind / affordances_option_models
  ☆23Updated 4 years ago