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"
  ☆120Updated 3 years ago
• dido1998 / Recurrent-Independent-Mechanisms
  Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)
  ☆101Updated 3 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆33Updated 8 years ago
• JindongJiang / GNM
  Official Release of NeurIPS 2020 Spotlight paper "Generative Neurosymbolic Machines"
  ☆35Updated last year
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆51Updated 6 months ago
• LauraRuis / groundedSCAN
  Grounded SCAN data set.
  ☆70Updated 3 years ago
• caotians1 / BabyAIPlusPlus
  BabyAI++: Towards Grounded language Learning beyond Memorization, ICLR BeTR-RL 2020
  ☆26Updated 5 years ago
• thaihungle / UW-DNC
  Uniform Writing & Cached Uniform Writing
  ☆27Updated 6 years ago
• jacobandreas / tre
  Measuring compositionality in representation learning
  ☆73Updated 6 years ago
• choidami / sst
  ☆50Updated 5 years ago
• libilab / PCN-with-Global-Recurrent-Processing
  Code for "Deep predictive coding network for object recognition"
  ☆25Updated 5 years ago
• GuyLor / Direct-VAE
  Implementation of the paper "Direct Optimization through argmax for discrete Variational Auto-Encoder"
  ☆15Updated 5 years ago
• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• xqding / TD-VAE
  Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
  ☆163Updated 2 years ago
• ermongroup / subsets
  Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.
  ☆57Updated 2 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆16Updated last year
• ischlag / Fast-Weight-Memory-public
  Official code repository of the paper Learning Associative Inference Using Fast Weight Memory by Schlag et al.
  ☆28Updated 4 years ago
• FerranAlet / modular-metalearning
  ☆78Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 7 years ago
• zhangjiong724 / spectral-RNN
  STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION
  ☆16Updated 7 years ago
• akolishchak / hard-attention
  Leaning hard attention model by policy gradient with rewards based on active inference.
  ☆22Updated 8 years ago
• henry-prior / multimodal-rl
  Solving reinforcement learning tasks which require language and vision
  ☆33Updated 2 years ago
• rfeinman / GNS-Modeling
  Generative Neuro-Symbolic (GNS) Modeling (Feinman & Lake, 2021)
  ☆29Updated 4 years ago
• microsoft / wmg_agent
  WMG agent
  ☆34Updated 2 years ago
• vuoristo / MMAML-rl
  ☆15Updated 6 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 5 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆22Updated 3 years ago
• uber-research / backpropamine
  Train self-modifying neural networks with neuromodulated plasticity
  ☆78Updated 6 years ago