Alternatives and similar repositories for SAM

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

• anirudh9119 / RIMs
  Code for "Recurrent Independent Mechanisms"
  ☆118Updated 3 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆100Updated 3 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆85Updated 5 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆32Updated 7 years ago
• jacobandreas / l3
  Learning with latent language
  ☆51Updated 4 years ago
• LauraRuis / groundedSCAN
  Grounded SCAN data set.
  ☆69Updated 3 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆49Updated last month
• xqding / TD-VAE
  Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
  ☆162Updated 2 years ago
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆33Updated 2 years ago
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• facebookresearch / Permutation-Equivariant-Seq2Seq
  Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…
  ☆27Updated 5 years ago
• rizar / CLOSURE
  Systematic generalization test for CLEVR
  ☆15Updated 5 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated 11 months ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆57Updated last year
• choidami / sst
  ☆49Updated 4 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 4 years ago
• Kajiyu / kanerva_machine
  The implementation of "The Kanerva Machine" with Pytorch and Pyro
  ☆12Updated 7 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• dhh1995 / SCL
  PyTorch implementation for The Scattering Compositional Learner (SCL)
  ☆32Updated 5 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 6 years ago
• caotians1 / BabyAIPlusPlus
  BabyAI++: Towards Grounded language Learning beyond Memorization, ICLR BeTR-RL 2020
  ☆26Updated 4 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆41Updated last year
• dev4488 / VAE_gumble_softmax
  pytorch implementation of VAE-Gumble-Softmax
  ☆63Updated 5 years ago
• benbogin / obverter
  Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation
  ☆19Updated 4 years ago
• tuananhle7 / aesmc
  Library for Auto-Encoding Sequential Monte Carlo
  ☆18Updated last year
• facebookresearch / modeling_long_term_future
  Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future
  ☆50Updated 6 years ago