Alternatives and similar repositories for DeepSITH

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

• Kaixhin / GUDRL
  Generalised UDRL
  ☆37Updated 3 years ago
• shwinshaker / LipGrow
  An adaptive training algorithm for residual network
  ☆17Updated 5 years ago
• anirudh9119 / zforcing_nips17
  Z Forcing: Training Stochastic RNN's, NIPS'17
  ☆33Updated 8 years ago
• vacancy / neural-logic-machines
  PyTorch implementation for the Neural Logic Machines (NLM).
  ☆11Updated 6 years ago
• joelouismarino / variational_rl
  Variational Reinforcement Learning
  ☆17Updated last year
• PAL-ML / PEARL_v1
  ☆30Updated 4 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated 3 years ago
• google-deepmind / brave
  A JAX implementation of Broaden Your Views for Self-Supervised Video Learning, or BraVe for short.
  ☆49Updated 5 months ago
• RedRyan111 / GLOM
  An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.
  ☆57Updated 4 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆18Updated 7 years ago
• stelzner / Visual-Interaction-Networks
  A PyTorch implementation of visual interaction networks
  ☆12Updated 6 years ago
• angusturner / generative_models
  Generative Modelling Experiments
  ☆39Updated 5 years ago
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 5 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆53Updated 4 years ago
• yiqiwang8177 / Official-codebase-for-Decision-Transducer
  This is the pytorch implementation of the UAI2023 paper "A Trajectory is Worth Three Sentences: Multimodal Transformer for Offline Reinf…
  ☆11Updated 2 years ago
• lucidrains / HTM-pytorch
  Implementation of Hierarchical Transformer Memory (HTM) for Pytorch
  ☆76Updated 4 years ago
• StanfordASL / ALPaCA
  Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone
  ☆54Updated 2 years ago
• AnujMahajanOxf / VIREL
  Code for VIREL: A Variational Inference Framework for Reinforcement Learning
  ☆14Updated 6 years ago
• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 3 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆81Updated 3 years ago
• ElisevanderPol / PRAE
  Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
  ☆30Updated 5 years ago
• thaihungle / SAM
  Self-attentive Associative Memory & SAM-based Two-Memory Model
  ☆59Updated 3 years ago
• lucidrains / isab-pytorch
  An implementation of (Induced) Set Attention Block, from the Set Transformers paper
  ☆67Updated 3 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
• scrambledpie / GPVAE
  Train and visualise a latent variable model of moving objects.
  ☆16Updated 5 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 4 years ago
• snu-mllab / EMI
  Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.
  ☆36Updated 5 years ago
• orybkin / sigma-vae
  Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"
  ☆29Updated 4 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• doerlbh / UnsupervisedAttentionMechanism
  Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".
  ☆20Updated 4 years ago